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Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week

Location: San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds AI infrastructure products that developers love. That’s how we grew so quickly, and why word of mouth remains one of our most important channels today. In this role, you will primarily create and distribute technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also serve as a trusted resource for them when implementing new AI technologies. WHAT YOU’LL WORK ON: - Distill the latest advancements in AI technology and educate developers on how to incorporate them - Give demos and talks about Modal and adjacent tools at developer events - Engage with users in our community, both online (X, LinkedIn, Reddit, Slack) and at in-person events - Build relationships, integrations, and joint marketing activities with other developer-focused companies - Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on YOU MAY BE A FIT IF: - You have 3+ years of experience as a software engineer - You’re energized by the AI developer community and want to help developers adopt new technologies - You love teaching - You have excellent technical communication skills - You’re metrics-driven and take quantitative approaches to prioritizing initiatives - You’re excited about working in person in our NYC, SF, or Stockholm office NICE-TO-HAVE: - A willingness to think outside the box when it comes to compelling technical content - An existing developer following on social media

Location: São Paulo, Brazil; Buenos Aires, Argentina; Montevideo, Uruguay; Lima, Peru; Santiago, Chile; Asunción, Paraguay Workplace: remote At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a skilled Java Backend Engineer to join one of our clients' teams . You will play a key role in building an Applicant Tracking System (ATS) integrated with REST APIs and FIX APIs. You will work closely with product managers, architects, and front-end engineers to design, develop, and optimize scalable backend services for high-performance applications. Key Responsibilities * Design and implement backend services and APIs in Java (Spring Boot / Jakarta EE) for ATS functionality. * Develop and maintain RESTful APIs for integrations with external systems and internal services. * Implement and optimize FIX protocol-based APIs for financial/trading system integrations. * Ensure low-latency, high-availability, and secure backend architecture. * Write clean, maintainable, and well-documented code following industry best practices. * Collaborate with DevOps to deploy and monitor services in production environments (AWS, GCP, Azure, or on-prem). * Optimize database performance (SQL/NoSQL) and design schemas for ATS workflows. * Conduct code reviews, unit testing, and integration testing to maintain code quality. * Troubleshoot and resolve performance, scalability, and reliability issues. * Stay updated on emerging technologies, protocols, and best practices in API development and backend engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3–5 years of professional experience** in backend development with Java. Strong expertise in Spring Boot, Hibernate/JPA, and RESTful APIs. Hands-on experience with FIX protocol (QuickFIX/J or similar libraries). Solid knowledge of multithreading, concurrency, and low-latency system design. Experience with databases (PostgreSQL, MySQL, MongoDB, Redis, etc.). Proficiency in Git, CI/CD pipelines, Docker, Kubernetes. Strong understanding of security principles (OAuth2, JWT, SSL, encryption). Excellent problem-solving, debugging, and analytical skills. Nice to Have Experience with financial systems, trading platforms, or ATS solutions. Knowledge of messaging systems (Kafka, RabbitMQ, Redpanda, Chronicle Queue, etc.). Exposure to cloud services (AWS/GCP/Azure). Familiarity with microservices architecture and event-driven systems.

Location: San Francisco; New York Workplace: Remote ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. WHAT YOU’LL WORK ON: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation YOU MAY BE A FIT IF: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our New York office NICE-TO-HAVE: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Trading Service team is the backbone of our exchange's industry-leading trading product, which is utilized by millions of users. We are responsible for the core order and position management systems, enabling a full spectrum of trading products, including manual, automatic, and social trading, as well as brokerage services. Our platform supports diverse financial instruments such as spot, margin, futures, options, and perpetuals. As a Senior Staff Software Engineer in the C++ team, you will play a crucial role in shaping the infrastructure and architecture of these critical systems, ensuring we maintain our competitive edge in the fast-paced financial markets. What You’ll Be Doing Design and implement innovative solutions for our full range of trading products, including spot, futures, perpetual swaps, and options Build out our industry-leading trading platform, focusing on core infrastructure and architectural components Drive performance optimization for the overall trading architecture, aiming for ultra-low latency, high availability, and scalability Identify and eliminate critical performance bottlenecks across the entire trading architecture, implementing advanced low-latency and high-throughput solutions in C++ Serve as a technical authority and subject matter expert in C++ performance and core trading systems; provide technical guidance, perform rigorous code reviews, and mentor senior and mid-level engineers Design highly resilient, fault-tolerant systems and drive best practices in monitoring, alerting, incident response, and post-mortem analysis for mission-critical trading infrastructure Collaborate extensively with Stakeholders to translate strategic business needs into highly efficient and scalable technical solutions. What We Look For In You Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or a strong STEM education background) 10+ years of professional experience in software development, with a deep and demonstrable track record in designing, building, and operating high-performance, ultra-low latency distributed systems in C++ within the financial services or trading domain Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design Experience in practicing automated testing and continuous integration Good understanding of networking and I/O on Linux; familiar with performance optimization techniques and tools on the Linux platform Nice to Haves Experience in developing high-performance, low-latency systems Strong logical thinking and problem-solving skills Willingness to learn all aspects of trading products in financial and crypto markets, including spot, futures, swaps, options, and structured products Passionate about technology, eager for challenges and take ownership of your work Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Trading Service team is the backbone of our exchange's industry-leading trading product, which is utilized by millions of users. We are responsible for the core order and position management systems, enabling a full spectrum of trading products, including manual, automatic, and social trading, as well as brokerage services. Our platform supports diverse financial instruments such as spot, margin, futures, options, and perpetuals. Join our elite Trading Service team as a Senior Staff Software Engineer, where you will be a pivotal technical leader shaping the future of our ultra-low latency, high-throughput trading platform. This is a highly impactful individual contributor role for an exceptional engineer with a deep passion for financial markets and cutting-edge technology. You will own and drive the architectural direction for critical system components, solve the most complex technical challenges across multiple teams, and significantly influence our engineering practices and technical roadmap. Your work will directly empower millions of users and underpin the efficiency of our industry-leading exchange. What You’ll Be Doing Define and own the long-term technical architecture and strategy for core trading platform components, ensuring alignment with business goals and operational excellence Spearhead the design and implementation of highly challenging, ambiguous, and cross-cutting technical projects that span multiple engineering teams Identify and eliminate critical performance bottlenecks across the entire trading architecture, implementing advanced low-latency and high-throughput solutions in Java Serve as a definitive technical authority and subject matter expert in core trading systems and Java performance; provide technical guidance, code reviews, and mentorship to senior and mid-level engineers Stay abreast of industry trends, research emerging technologies (e.g., new concurrency models, hardware acceleration), and propose innovative solutions to enhance the platform's competitive edge Design highly resilient, fault-tolerant systems and drive best practices in monitoring, alerting, incident response, and post-mortem analysis for mission-critical trading infrastructure Collaborate extensively with Stakeholders to translate strategic business needs into highly efficient and scalable technical solutions; influence product roadmaps from a technical feasibility and architectural sustainability perspective Evangelize and enforce high standards in software engineering design, coding, testing, and deployment practices across multiple teams What We Look For In You Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field (or a strong STEM education background) Expert-level proficiency in modern C++, with deep knowledge of memory management, lock-free concurrency, template metaprogramming, and compiler-level performance tuning 10+ years of extensive professional experience designing, building, and operating high-performance, ultra-low latency distributed systems in Java Expert-level proficiency in Java for performance-critical applications, including profound knowledge of JVM internals, garbage collection tuning, and advanced concurrency patterns Proven experience as a technical leader or architect for major system components, demonstrating the ability to drive technical direction, with exceptional expertise in message-oriented middleware Deep understanding of network protocols, OS-level optimizations (Linux), hardware considerations, database technologies (SQL and NoSQL), and strong track record of driving DevOps practices, CI/CD, and monitoring Nice to Haves PhD in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative discipline Direct experience leading the architecture or core development of matching engines, market data processing systems, or complex algorithmic trading strategies in an HFT environment In-depth knowledge of FIX Protocol and other relevant financial industry messaging standards Experience with hardware-level optimizations, FPGA/ASIC acceleration, or specialized networking components Active contributions to significant open-source projects, academic publications, or industry conferences in low-latency computing or FinTech Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are a leading trading platform that is expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team.    We are currently growing our Backend Team and looking for great Engineers with an interest in trading to join us! Our Engineering team plays a pivotal role in ensuring the robustness, speed, and security of our product. Dedicated to enhancing performance, providing a best-in-class user experience, ensuring compliance, and safeguarding data, the team's efforts directly impact our ability to offer clients a seamless and secure trading journey.   We believe great engineering talent not only delivers excellent code, but also lives our values. We are looking for someone who is eager to go fast, willing to innovate and grow, who knows how to listen, respect and support, strives to exceed client expectations, and takes full ownership to achieve real results. Core responsibilities: Design and build scalable, low-latency, and high-performance backend services Develop distributed and asynchronous systems ensuring reliability and fault tolerance Optimise performance across JVM, databases, caching, and networking layers Apply security best practices in handling client PII and financial transactions Use event-driven architectures and modern messaging solutions (e.g. Kafka) Collaborate with cross-functional teams to align architecture with business needs Maintain high code quality through testing, code reviews, and CI/CD practices Leverage AI tools to accelerate development, testing, and delivery What you will need: Experience & domain knowledge: Proven experience in FinTech, Banking, or related financial domains Strong understanding of distributed systems architecture and the client–server model Ability to design and maintain scalable, low-latency, high-performance systems Solid knowledge of concurrency, multithreading, and asynchronous programming Awareness of security best practices in handling PII and financial transactions Basic understanding of network protocols and troubleshooting Experience working in a product-led fast-paced environment as a team player Technical skills: Java and Spring: Advanced knowledge of Java Core technologies and the Spring framework Data Mastery: Proficiency with SQL databases, ensuring optimal performance, structure, and replication Concurrency & Async programming: advanced understanding and hands-on experience in asynchronous programming methods. Events streaming: Understanding of the event driven architecture (Kafka or similar solutions). Operational Proficiency: Understanding and hands-on experience with Ops activities, Kubernetes, pipelines, Fit Flow and modern CI/CD patterns and strategies AI tools: ability to effectively use AI technologies in engineering work e.g. applying AI for coding assistance, debugging, testing, documentation, and optimisation of workflows Soft skills: Communication: Effective communication skills, especially with teams responsible for security, operations and product Analytical thinking: Ability to tackle and investigate complicated problems and convert it to the task Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements Ownership and Accountability: Readiness to take ownership of tasks, issues as well as demonstrate accountability of the results and outcome Nice to have: Performance : Knowledge of JVM performance optimization practices No-SQL: Experience working with no-SQL databases is a big plus In-memory storage : Strong knowledge of in-memory cache solutions What you will get in return: Competitive salary and annual performance-based bonus Generous annual leave policy Health insurance and pension fund, with additional benefits depending on location Hybrid working model (3 days from office) or fully remote across the country of employment Workation policy (30 days remote from anywhere in the world) Two additional paid days per year dedicated to volunteering What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We're looking for an engineer to help build the future of distributed Postgres. You'll work on Multigres, our open-source distributed database system that brings horizontal scaling to Postgres. In this role, you'll architect and implement critical distributed database infrastructure including sharding, consensus protocols, and materialization systems. You'll collaborate closely with our Postgres, networking, and infrastructure teams to push the boundaries of what's possible with distributed databases. WHAT YOU’LL BE RESPONSIBLE FOR: - Design and implement query routing logic for sharded databases - Build consensus and replication systems to support distribute durability - Develop materialization pipelines for migrations and change data capture - Contribute to connection pooling infrastructure and intelligent workload isolation - Collaborate with the open-source community on Multigres development YOU MIGHT BE A GOOD FIT IF YOU HAVE: - This role requires deep technical expertise in distributed databases and systems. For detailed qualifications, see our contributor qualifications document https://github.com/multigres/multigres/discussions/78. Key areas of expertise: - Database sharding, relational algebra, and Postgres internals - Consensus protocols (Raft, Paxos, FlexPaxos) and distributed transactions - Stream processing, materialization, and change data capture - Building robust, performant distributed systems with strong observability - Low-latency infrastructure and network protocol optimization. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $850,000 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. 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: United States, San Mateo, 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. Principal Wireless Protocol Architect/Engineer We are building a small team of versatile and enthusiastic leaders to create new products for the PlayStation community. Our team recently delivered the new PlayStation Link, PULSE Explore and PULSE Elite products, recently announced the FlexStrike and PULSE Elevate products, and are hard at work on what comes next. We need an experienced and innovative firmware engineer to help build and support our new products and features. In this role, you will be the technical point of accountability for wireless across accessories: hardware, platform software, audio, security, and product all will route protocol questions to you. You will represent the protocol and the implementation to silicon and ODM partners, evaluate combo-SoC roadmaps, drive vendor firmware defects to resolution, and design so that a supplier change is a port, not a rewrite. You will write the technical strategy documents that let a Director and a VP make an informed decision. And, grow the technical depth by being the leader that mentors senior engineers toward staff and principal, and raise the design-review bar for the whole org. Come and play with us! Responsibilities In this role, you will lead firmware development for high profile product development efforts. You will be responsible for technical leadership, system architecture, and execution across the firmware domain, working closely with internal teams and external partners. Own firmware architecture and design for transport, wireless protocol, firmware and software stacks for embedded devices from concept through production Develop and define communication protocols to enable peripheral functionality Design, implement, and scale low-latency RF/wireless communication protocols for embedded systems Architect structured, modular, and reusable firmware frameworks that scale across multiple platforms and product lines Lead and mentor firmware engineers (internal and external partners) Ensure firmware designs support cross-platform reuse and long-term scalability Troubleshoot complex system-level issues across hardware, firmware, and RF domains Skills Strong in firmware and software architectural patterns Strong embedded firmware development experience in C/C++ Industry authority level experience with RF/wireless systems (e.g., Bluetooth, low-latency audio, or similar technologies) Deep understanding of low-latency embedded systems and communication protocol design Proven ability to design scalable, reusable, and cross-platform firmware architectures Experience with ARM microcontrollers and low-power system design Hands-on experience with hardware bring-up and debugging (including RF/system-level issues) Experience implementing hardware-in-the-loop and automated testing Strong system-level thinking across hardware and software boundaries Ability to operate at both high-level system design and low-level implementation Proven ability to lead firmware efforts across teams and partners Experience with consumer electronics product development from concept through mass production Strong problem-solving and debugging skills Qualifications Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or related field (or equivalent experience) 15+ years of experience in embedded firmware development Demonstrated experience leading firmware development for shipped products Strong experience in RF/wireless or low-latency embedded systems Excellent written and verbal communication skills Passion for gaming, digital entertainment, and consumer electronics is a plus Nice to Have Experience with wireless audio or ultra-low latency systems Experience working with external development partners or ODMs Experience with kernel or driver development (Linux, Windows, or similar) Experience scaling engineering processes and mentoring teams Working Conditions Energetic, collaborative and passionate engineers delivering product Travel (domestic and international) required. Estimated 15-20% At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $209,900 — $314,900 USD 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 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: Abu Dhabi, United Arab Emirates; Luxembourg; Berlin, Germany; Bratislava, Slovakia; Bucuresti, Romania; Budapest, Hungary; Dresden, Germany; Dubai, United Arab Emirates; Düsseldorf, Germany; Erevan, Armenia; London, United Kingdom; Frankfurt, Germany; Hamburg, Germany; Hannover, Germany; Krakow, Poland; Kyiv, Ukraine; Leverkusen, Germany; Leipzig, Germany; Manchester, United Kingdom; Poland; Praha, Czechia; Skopje, North Macedonia; Sofia, Bulgaria; Stuttgart, Germany; Tallinn, Estonia; Tashkent, Uzbekistan; Tbilisi, Georgia; Warsaw, Poland Workplace: remote TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. We are looking for a Head of HFT for our client in a remote set up role. Requirements 1. 3+ years of hands-on experience in high-frequency or algorithmic trading. 2. Proven track record of working with top-tier trading firms , proprietary trading desks, or hedge funds. 3. Experience leading or contributing to successful HFT strategies and systems. 4. Deep understanding of low-latency systems , high-throughput data processing, and network optimization. 5. Fluent in English (written and spoken). What You’ll Do Lead the design, development, and optimization of high-frequency trading strategies. Build and manage a high-performing HFT team, including quants and engineers. Collaborate with leadership to align trading strategy with overall business goals. Analyze and act on large data sets in real-time to identify profitable opportunities. Maintain and continuously improve latency-sensitive infrastructure. Ensure robust risk management protocols and compliance with relevant regulations. Drive innovation and research in algorithmic trading within the Web3 and crypto space.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:   We are looking for a Senior Performance Test Engineer to join our high-performing team and contribute to the performance, scalability, and reliability of our trading platforms. This role involves hands-on performance testing and analysis in a high-throughput, low-latency environment, collaborating closely with development and infrastructure teams to ensure system efficiency and stability.    You will work with modern tools and practices, leveraging K6 with JavaScript/TypeScript, containerized environments (Docker, Kubernetes), and cloud-native performance strategies. While this is a technical role, there may be opportunities to mentor and guide engineers on the team as your role evolves. The main responsibilities of the position include: Define and refine performance testing strategy across the company Develop and maintain performance testing scripts using K6 and JavaScript/TypeScript, focusing on reusable and scalable testing approaches Execute various types of performance tests (load, stress, soak) on REST and GraphQL APIs Monitor and analyze test results using tools like Grafana and Prometheus, providing actionable recommendations Collaborate with engineering teams to identify and troubleshoot system performance bottlenecks Apply performance best practices in Spring Boot, JVM, and microservice-based environments Integrate performance tests into CI/CD pipelines (GitLab, Jenkins) to enable continuous validation May take on mentorship or leadership responsibilities over engineers within the team over time Main requirements: BSc/MSc in Computer Science, or related discipline 5+ years of hands-on experience in QA 2+ years of experience in performance testing using tools like K6 or Gatling Proficiency in JavaScript/TypeScript for writing test scripts Strong experience in API performance testing (REST, GraphQL), including rate limiting and caching strategies Familiarity with Spring Boot applications and microservices architecture Experience working in Docker/Kubernetes environments, including performance-related configurations (HPA, resource limits, etc.) Proficiency with monitoring/observability tools such as Grafana, Prometheus, etc. Experience integrating testing into CI/CD pipelines (GitLab CI, Jenkins) The following will be considered an advantage: Experience with gRPC, WebSockets, and HTTP/2 performance testing JVM tuning and database performance optimization expertise Familiarity with cloud-native performance strategies and service mesh technologies (Istio, Linkerd) Exposure to distributed tracing tools like Jaeger or OpenTelemetry Experience in managing/leading a team Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Belgrade; London; Berlin Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities - Build and operate scalable, low-latency infrastructure for search serving and retrieval. - Design and improve distributed backend systems that handle high request volumes. - Debug and optimize Linux systems, containers, networking, and production services. - Improve reliability through observability, capacity planning, performance profiling, and incident response. - Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. - Build internal tools and automation for development, testing, debugging, and infrastructure operations. - Improve CI/CD pipelines, release processes, and production rollout safety. - Contribute directly to product codebases across Rust, Go, and other systems languages. - Own systems end to end, from architecture and implementation to deployment and production operation. Requirements - Strong experience with cloud infrastructure, distributed systems, and automation. - Deep understanding of Linux internals, performance analysis, and production debugging. - Experience building or operating latency-sensitive, high-throughput backend systems. - Experience with containers, orchestration, observability, and infrastructure as code. - Experience building or maintaining CI/CD systems and release tooling. - Fluency in at least one systems language, such as Rust, Go, C++, or Java. - Comfort working across infrastructure and application-level code. - Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have - Experience with search, retrieval, ranking, or other large-scale data-serving systems. - Experience operating Rust services in production. - Experience with AWS, Kubernetes, and modern observability systems. - Experience with profiling, capacity planning, and performance optimization. - Experience building AI-assisted developer or operational tooling.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed systems at a large scale (the more battle scars, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - You have experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) - You’re able to work in person in our NYC or SF office - You’re able to participate in our on-call rotation and respond to production incidents NICE-TO-HAVE: - Prior experience with Rust

Location: San Francisco, CA | New York City, NY | Seattle, WA 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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: Have significant software engineering or machine learning experience, particularly at supercomputing scale Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers Representative projects: Implement low-latency high-throughput sampling for large language models Implement GPU kernels to adapt our models to low-precision inference Write a custom load-balancing algorithm to optimize serving efficiency Build quantitative models of system performance Design and implement a fault-tolerant distributed system running with a complex network topology Debug kernel-level network latency spikes in a containerized environment 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: $280,000 — $850,000 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. 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: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. This is an exciting opportunity for a software engineer passionate about open source software, Linux, and web services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company. Canonical’s engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security. We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform. Location: This role will be based remotely in the EMEA region. What your day will look like Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments. Design, architect, and build high-performance APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Go. Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity. Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers. Lead the design, implementation, and optimization of new features, taking projects from specification to production, ensuring operational excellence at scale. Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence. Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders. Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing. What we are looking for in you You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Go or Python, guiding best practices, technical direction, and system scalability. You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments: secure connectivity, data streaming, governance, and compliance. You bring proven expertise in designing and optimizing systems using: IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling Ability to design decentralized data ownership models, ensuring interoperability and governance across domains Designing high-throughput, low-latency systems for IoT data processing Data streaming technologies (MQTT, Kafka, RabbitMQ) Observability tools (OpenTelemetry) Industrial/engineering data exchange protocols (OPC-UA, ModBus) You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives. You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing. You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape. You are familiar with Ubuntu as a development and deployment platform. You hold a Bachelor’s degree or equivalent in Computer Science, STEM, or a related field. You are willing to travel up to 4 times a year for internal events. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote