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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Competitive salary and stock options so you have a stake in our flock’s success. - Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond. - A good pension plan - Legendary company events – we bring the whole flock together once a year for unforgettable team gatherings a year to keep our bonds strong. - Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. Who You Are User-Centric Mindset: An advocate for the user with an intuitive feel for product usability, interaction design, social dynamics, and user growth loops. You care deeply about why a feature is being built and its impact on the end user. Data-Informed & Hypothesis-Driven: Comfortable working alongside Data Scientists and PMs to design experiments, establish core performance metrics, and iterate quickly based on real-time feedback. Technical Rigor at Scale: 7+ years of hands-on backend development experience building and operating large-scale distributed serving systems in high-concurrency environments. Bias for Action: Self-directed, innovative, and comfortable navigating ambiguity in fast-paced product environments where balancing velocity with system reliability is essential. Collaborative Communicator: Outstanding communication skills with a track record of driving cross-functional alignment in fully remote or hybrid team environments. Technical Qualifications Languages: Proficiency in modern backend languages such as Go or Python (or Java, Kotlin, Rust, C++). API Design: Expertise in designing and maintaining scalable, maintainable APIs using GraphQL , REST , or gRPC for native mobile and web applications. Data & Caching: Experience with high-throughput caching layers and distributed datastores (e.g., Redis , Cassandra , PostgreSQL ). Modern Workflows: Experience or interest in using AI-assisted engineering tools to accelerate development workflows. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Задачи: — Администрировать учебную платформу на базе Moodle и помогать пользователям при взаимодействии с ней; — Отвечать на обращения пользователей в техподдержку платформы; — Готовить презентационные материалы для пользователей платформы; — Участвовать в проектах, требующие вариативных навыков от творчества до оптимизации кода; — Создавать приказы и служебные записки; — Участвовать в мероприятиях, встречах и презентациях. Требования: — Среднее профессиональное образование; — Базовое владение языком программирования Rust или смежными языками (С, С++); — Опыт взаимодействия с LMS-платформами на базе Moodle; — Опыт создания фронтенда (HTML, CSS, JS); — Знание SQL (MySQL, MariaDB); — Умение грамотно вести переписку. Условия: — Трудоустройство по ТК РФ, оплачиваемые больничные и отпуска; — График работы 5/2, с 09:00 до 18:00; — Работа на территории работодателя в одном из ведущих вузов России; — Шаговая доступность от м. Университет дружбы народов (5 мин), м. Беляево (20 мин), м. Юго-западная (20 мин); — На территории расположены автомобильная парковка, столовая, множество кафе, спортивный комплекс и клинико-диагностический центр РУДН; — Ежегодный медосмотр в медицинском центре университета за счет работодателя; — Возможность проходить обучение по дополнительным профессиональным программам за счет работодателя; — Развитая система надбавок и премирования; — Современный информационно библиотечный комплекс, доступ к библиотечным ресурсам и научным базам данным; — Профсоюз РУДН: социальная поддержка работников, льготы на посещение театров, музеев, концертных площадок и скидки на платные услуги КДЦ.

Задачи: — Участвовать в проектировании архитектуры приложения на уровне командных и кросс-командных решений, выбирать технологические компромиссы. — Проектировать и разрабатывать микросервисы на стеке Java (Spring Boot) + PostgreSQL + Kafka, разворачиваемые в среде OpenShift (Kubernetes). — Разрабатывать и интегрировать модули для взаимодействия с публичными и приватными блокчейн-сетями (смарт-контракты, управление ключами). — Проектировать надежные REST/gRPC API, описывать контракты (OpenAPI/Swagger) и обрабатывать асинхронные события. — Создавать прототипы и Proof of Concept для оценки новых технологий и фреймворков. — Оптимизировать запросы к PostgreSQL, работать со сложными SQL-запросами, анализировать планы выполнения и настраивать индексы. — Проектировать CI/CD-пайплайны (Bitbucket/Jenkins) и внедрять AI-агентов для автоматизации сборки и тестирования. — Проводить код-ревью, обучать младших разработчиков, писать модульные и интеграционные тесты (JUnit, Testcontainers), применять BDD (Cucumber). Требования: — Опыт от 4 лет разработки на Java. — Высшее техническое образование. — Java 11+ (приветствуется опыт с 17/19 версиями). — Глубокое понимание архитектурных стилей: SOA, MSA, Event-Driven, SBA. — Отличное знание паттернов проектирования, SOLID, принципов построения микросервисов. — Стек: Spring Boot (2.x/3.x), PostgreSQL, Apache Kafka. — Опыт работы в контейнерной среде (OpenShift / Kubernetes). — Проектирование REST/gRPC API, работа с JSON/XML. — Высокий уровень SQL (сложные запросы, оптимизация, чтение планов). — Опыт написания тестов (JUnit, Mockito, Testcontainers) и использование BDD (Gherkin/Cucumber). — Владение инструментами: Maven/Gradle, Git, Jira, Confluence. — Опыт настройки CI/CD (Bitbucket Pipelines/Jenkins, Nexus). — Опыт работы в Agile (Scrum/Kanban) и умение декомпозировать задачи. Желательные навыки: — Опыт разработки смарт-контрактов для платформ TRON, Ethereum или других блокчейн-сетей. — Понимание основ криптографии и управления ключами. — Опыт проектирования систем для взаимодействия с публичными и приватными блокчейн-сетями. — Навыки работы с AI/генеративными моделями для написания кода, авто-генерации тестов и документации (SDD-подход). — Опыт разработки на Сбер Platform V (ППРБ, ЕФС). — Знание дополнительных языков: JS, Python, Go, C++, Rust. — Навыки настройки Nginx, знание сетевых протоколов (TCP/IP, TLS). — Базовое понимание UI/UX или опыт работы с React (для понимания клиентской части). Условия: — Работа над инновационным продуктом федерального уровня (стык FinTech и Blockchain). — Официальное трудоустройство по ТК РФ, полностью «белая» заработная плата. — ДМС на сотрудника и детей. — Профессиональное развитие: менторство, участие в профильных конференциях, доступ к корпоративной библиотеке знаний. — Сильная команда экспертов и прозрачная система постановки задач.

Fastly is seeking a Threat Detection Analyst for the APAC region who is Japanese speaking. The role is part of the Fastly Customer Security Operations Center (CSOC) team, focusing on operational support of Fastly’s security products and services, particularly integrating and supporting agent software installed on customer systems. The position involves monitoring and analyzing customer activity with emphasis on security functions such as identifying account-takeover, Bot Attacks, and WAF administration, focusing on application layer security and web technologies. The role requires working Friday to Tuesday, 0000 - 0800 UTC (9am - 6pm AEST). Responsibilities include: — Ensuring security for customers and providing outstanding responses to security issues. — Providing deep application-security expertise on escalated cases from customers and automated systems. — Conducting continuous improvement and research to enhance customer security products and operations. — Contributing to processes and policies to scale the organization. — Creating and reviewing security service reports for customers. — Creating and managing security content for customer environments. Requirements: — Prior experience working in a SOC environment. — Experience with SaaS/Cloud or hybrid cloud deployments; Apache, NGINX, IIS or other web server platforms and associated application server technologies and frameworks. — Scripting skills in Python, Java, Go, Rust, PHP, Unix/Linux Shell, C#, or other common web languages. — Strong information security background with practical skills in application security. — Experience in IT or security technical support, operations, or research roles. — Unix/Linux or Windows system administration skills. — Ability to work with limited supervision and mentor others on security knowledge. — Fluent spoken and written English, adaptable to different audiences. — Experience troubleshooting software products. — Focus on delivering exceptional customer experiences. Work hours require availability during core business hours. The position is remote based with potential to become hybrid as Fastly expands in the region. Travel to the US and internationally may be required. Benefits include a comprehensive package starting from day one, with variations depending on country. Fastly emphasizes a positive work environment, diversity, inclusion, and support for employees' passions and causes. Applications must be submitted through Fastly's official careers site. Fastly is an equal opportunity employer committed to a safe and welcoming work environment free of discrimination and harassment. Reasonable accommodations are available for applicants with disabilities.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status, risks, estimates, and dependencies Leverage modern AI-assisted development tools (e.g. Codex, Claude, etc) to accelerate design, implementation, documentation, and debugging while maintaining engineering quality through sound technical judgment and code review Continuously evaluate emerging technologies and automation opportunities that improve engineering velocity, reliability, and operational efficiency Requirements BS in Computer Science, Computer Engineering, or equivalent practical experience 7+ years of professional software development experience Experience designing, implementing, and operating production software systems Demonstrated ability to troubleshoot complex technical problems spanning software and infrastructure Passion for building reliable, maintainable, and highly automated systems Skills & Knowledge Strong experience developing production software in Rust Experience building applications or controllers on Kubernetes Experience developing software on Linux Proficiency with Git and modern software development workflows Familiarity with container technologies including Docker and Kubernetes Experience debugging complex distributed applications Experience writing automated unit and integration tests Excellent written and verbal communication skills Knowledge of observability platforms including Prometheus, Grafana, OTel, or OpenSearch Experience working with modern AI-assisted software development tools to improve productivity while applying critical engineering review and validation Understanding of distributed systems concepts including concurrency, asynchronous programming, event-driven architectures, fault tolerance and consistency models Additional Attributes Familiarity with Java or C++ Familiar with Agile development concepts Comfortable working across software, infrastructure, networking, and hardware domains Experience with infrastructure automation using tools such as Ansible, AWX, or GitOps workflows Ability to thrive in an environment with evolving requirements and technical challenges Strong communication and documentation skills Contribution to the open-source community (ie. blogs, source code, etc) Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a Software Engineer to help us build the next version of media web experience. In this role, you will define the work on the technical components of how we deliver video and audio content at Reddit. Specifically, you will focus on our web media player and the APIs that power it, drawing on industry patterns from top streaming platforms to build seamless, low-latency playback experiences and interactive tools for creators and users alike. Key Responsibilities Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love. Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. Design and implement end-to-end fullstack solutions, optimizing web UI components for our media player (React, TypeScript) and the backend APIs (Go, Python) that power them. Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. You’ll be reviewing code and design docs, giving feedback on product specs and mocks. Collaborate with client engineers and platform engineers to improve performance of media across Reddit to serve better content globally. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise. Qualifications BS degree in Computer Science, a similar technical field of study or equivalent practical experience. 3+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, Ruby. Proficiency in modern web development technologies (JavaScript, React, Next.js, TypeScript) and experience translating complex UI/UX designs into scalable web applications. Experienced with GraphQL, REST, HTTP, gRPC, Thrift basics, and the ability to design and implement maintainable APIs. Strong organizational skills, the ability to prioritize tasks and to deliver projects on schedule. Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $165,000 — $229,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Customer Success Team The Customer Success Team owns full project lifecycles and client deliveries end-to-end; keeping Security Research, Secure Development, Engineering, Sales, Solutions, Executive team and clients aligned on a shared plan throughout the entire delivery. Core responsibility of the Customer Success team is client satisfaction as well as supporting any renewal discussions and ongoing partnership. The type of deliveries span across the security services work (audits, reviews, applied research), smart contract library development, web3 tooling as well as marketing and developer relationship engagements. What you'll be doing Own the Engagement: Own the full lifecycle of strategic ecosystem accounts, from kickoff through delivery, renewal, and expansion. Serve as the primary point of contact and trusted advisor for each client. Drive Delivery: Lead client kickoffs, manage scope through a structured change-order process, oversee end-to-end audit delivery, coordinate quality review and publishing, and proactively escalate risks to internal leadership. Administer Program Governance: Operate the day-to-day governance framework for each engagement — RASCI matrices, workstream structures, and engagement models — and keep the program's working cadence and reporting metrics current. Maintain core program artifacts (milestone plans, scope/MVP definitions, RAID logs) as the definitive source of truth, and formulate executive-level status reports for client and internal leadership. Orchestrate Technical Delivery: Coordinate architecture and requirements sessions with client engineering teams and translate outcomes into actionable delivery milestones. Oversee delivery across audit and engineering teams — backlogs, sprints, and stage gates — to ensure high-quality, on-time releases, and provide formal go/no-go recommendations at key milestones. Manage technical dependencies including repository access, audit cycles, and vendor onboarding, collaborating with legal on contractual or SOW-related blockers. Coordinate Third-Party Infrastructure: Synchronize delivery timelines and technical specifications with third-party infrastructure providers and partners, supporting senior leadership in commercial and contractual decision-making where needed. Facilitate Dependency Mapping & Risk Management: Facilitate stakeholder coordination and dependency mapping across cross-functional teams, resolving operational blockers at the working level and escalating critical decisions to senior stakeholders. Maintain the program's risk and compliance register and drive a regular cadence for regulatory-readiness governance and mitigation. Build Account Intelligence: Maintain deep, current knowledge of each ecosystem's goals, tech stack, governance, roadmap, and funding landscape. Anticipate client needs and surface opportunities before they are asked for. Grow the Account: Partner with Sales, Secure Development, Security Services, and Growth to identify upsell opportunities, build compelling renewal narratives tied to value delivered, and contribute directly to the business unit's recurring revenue and subscription targets. Coordinate on target-state and go-to-market use cases, monitoring GTM execution and flagging slippage to program leadership. Engage Technically: Review codebases at a high level for estimation purposes, hold meaningful technical conversations with client engineering teams, and translate between the client's technical context and OpenZeppelin's delivery teams. Operate with Rigor: Monitor team performance against key delivery metrics including resource utilization, allocation, and on-time delivery. Use our internal tooling (GitHub, Notion, Slack, HubSpot, and our internal automation system) to streamline workflows and reduce operational overhead. Deliver Unreasonable Hospitality: Every interaction should exceed expectations. You set the standard for exceptional client care across all account touchpoints, and the judgment calls that AI tooling cannot replicate are yours to make. You have 5+ years of experience in Technical Program Management, Technical Account Management, Customer Success, Engagement Management, Solutions Architecture, or a closely related customer-facing technical role. Proven track record managing complex, multi-stakeholder technical delivery on time and within scope, and managing a book of business with renewal and expansion responsibility. Technical background sufficient to review code at a high level for estimation and to hold credible conversations about smart contract architecture. You do not need to write Solidity, but you should not be lost in a code review. Deep understanding of blockchain ecosystems, L1/L2 infrastructure, and the dynamics of open-source business models. Genuine passion for the space. Solidity or Rust reading proficiency, or hands-on cybersecurity experience. Exceptional relationship-building skills. Clients call you first because they want to, not because they have to. Strong commercial instincts: experience managing renewal cycles, negotiating change orders, and building account expansion narratives. Superb organization and the ability to manage multiple complex engagements concurrently across many stakeholders and time zones. Advanced English; excellent written and verbal communication. Comfortable presenting to a CTO and a CFO in the same meeting. Advanced knowledge of project management and collaboration tools including GitHub, Notion, Linear, Slack, and HubSpot. Comfort working in a fully remote, async-first, globally distributed environment. Nice to have Prior experience working directly with protocol teams, L2 ecosystems, or blockchain foundations. Familiarity with OpenZeppelin's product suite (Contracts, Open-Source Tools, Audits, AI Auditor). Project management certification (PMP, Scrum Master, or equivalent). Background in solutions consulting, technical pre-sales, or professional services delivery. Experience in a high-growth startup building processes from scratch. PMO or people management experience. Logistics: Our interview process takes place on Zoom and tends to consist of the following stages: Recruiter Call (30 minutes) Hiring Manager Call (30 minutes) Team Interview (30 minutes) Paid work test (up to 20 hours of paid work) Reference checks Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Lisbon, Portugal London, UK About the Role The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products. As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the iCloud Private Relay product. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more. Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities. Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Responsibilities Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions Participate in daily and ad-hoc team meetings to share progress and collaborate Participate in the team’s on-call schedule to ensure uptime of our production systems Investigating customer issues that are escalated to the Egress team for triage and resolution Responding to questions from other teams in the Egress team’s internal, public chat room Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving Desirable Skills, Knowledge, and Experience 3+ years of hands-on software engineering experience, including a track record of owning the architecture of complex, distributed, production-critical systems end to end. Programming experience in Go or Rust and a desire to improve your skills in both. A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model. Knowledge of HTTP, TLS, and CDN networks. Experience in implementing secure and highly-available distributed systems. Strong ability to debug issues in complex systems. Strong collaboration and communication skills. Experience/interest in HTTP networking and VPN technologies. Experience/interest in network performance monitoring and tuning. Willingness to adopt and integrate AI tools and systems into your engineering workflow. Bonus Points Knowledge of TCP/IP and Internet routing. Professional systems-level programming experience in Rust. Experience building tools and APIs. Experience with monitoring, alerting, and debugging large-scale distributed systems Experience participating in an on-call rotation. Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting. Compensation ● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: APAC - Remote; Hong Kong SAR About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities： Contract Audit: Participate in code reviews of ERC-20, ERC-721, and other token and related smart contracts to identify common security risks; AI Audit Tool Development: Explore and apply AI/LLM, Agent, and other technologies to automate the smart contract vulnerability detection process, improving audit efficiency and vulnerability discovery coverage; Security Incident Analysis: Combine manual analysis with AI technology to participate in the analysis of the causes, vulnerability types, and impacts of attacks on Web3 projects, providing references for audit process optimization. Requirements： Bachelor's or above in Computer Science, Information Security, Cryptography, PhD Year 2 and Master's Year 1 candidates are strongly preferre Proficient in Solidity; solid understanding of EVM internals and common ERC standards (ERC-20/721/777, etc.) Familiar with Ethereum/BSC ecosystems; understanding of DeFi and L1/L2 architectures preferred Able to identify common smart contract vulnerability patterns and attack vectors Nice to Have Experience using AI/LLM for smart contract vulnerability detection CTF or audit competition experience; track record of finding medium/high-severity bugs Familiarity with DeFi protocols (Uniswap V2/V3, AAVE, etc.) Proficiency in Rust or Go Contributions to Web3 open-source projects or automated auditing tools Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a skilled and diligent full-time Software Engineer to join our growing team. You will work as part of the Dataplane Engineering Team to: Contribute to the core client connectivity features of Tailscale by applying a deep understanding of network engineering and software development. Evolve and enhance the Tailscale connectivity offerings between clients, subnet routers, exit nodes and other integrations with customer network infrastructure. Provide architectural insights and resolve escalated customer network issues to fix complex connectivity problems. Collaborate with product management and internal engineering to develop integrated network solutions that prioritize scalability and ease of maintenance while ensuring a superior customer experience. Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Design, build, test, and document core Tailscale’s client-side networking software. Advance product features by building upon or merging established industry network protocols with Tailscale's specific designs and frameworks. Adopt a security-centric approach to both architecture and coding to guarantee the resilience and safety of networking modules. Evaluate and optimize the performance, reliability, and scale of our software across a wide array of technical platforms and hardware. Provide expert consultation and support the customer success teams with critical network escalations within key customer environments. Engage actively with the open-source community and contribute to relevant projects. What We Are Looking For Significant experience with networking software and diagnosing networking issues Possess a comprehensive grasp of networking engineering, such as routing, VPNs, IP address management, and NAT traversal. Proficiency in Go or other low-level languages (e.g. C/C++, Rust), including a strong grasp of concurrent programming and techniques for optimizing performance. Experience with large scale distributed systems is highly desirable Knowledge of low-level OS network stacks is highly desirable Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup Excellent written and verbal communication skills As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $163,000 — $226,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a skilled and diligent full-time Software Engineer to join our growing team. You will work as part of the Dataplane Engineering Team to: Contribute to the core client connectivity features of Tailscale by applying a deep understanding of network engineering and software development. Evolve and enhance the Tailscale connectivity offerings between clients, subnet routers, exit nodes and other integrations with customer network infrastructure. Provide architectural insights and resolve escalated customer network issues to fix complex connectivity problems. Collaborate with product management and internal engineering to develop integrated network solutions that prioritize scalability and ease of maintenance while ensuring a superior customer experience. Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Design, build, test, and document core Tailscale’s client-side networking software. Advance product features by building upon or merging established industry network protocols with Tailscale's specific designs and frameworks. Adopt a security-centric approach to both architecture and coding to guarantee the resilience and safety of networking modules. Evaluate and optimize the performance, reliability, and scale of our software across a wide array of technical platforms and hardware. Provide expert consultation and support the customer success teams with critical network escalations within key customer environments. Engage actively with the open-source community and contribute to relevant projects. What We Are Looking For Significant experience with networking software and diagnosing networking issues Possess a comprehensive grasp of networking engineering, such as routing, VPNs, IP address management, and NAT traversal. Proficiency in Go or other low-level languages (e.g. C/C++, Rust), including a strong grasp of concurrent programming and techniques for optimizing performance. Experience with large scale distributed systems is highly desirable Knowledge of low-level OS network stacks is highly desirable Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup Excellent written and verbal communication skills As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $218,420 — $302,840 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.