Вакансии

Development and management of small- to medium-scale capital projects. Mechanical and piping design.

You’ll take full ownership of the production databases at a high-traffic, high-load startup with millions of rows. Required: PostgreSQL (Crunchy Bridge), MySQL (PlanetScale).

- Desktop приложение на Electron. ✅ 4 + года React и Angular.

REMOTE | GAMEDEV Что нужно делать: • разрабатывать и оптимизировать 3D-визуализацию на WebGPU; • работать с LuciadRIA и большими наборами 3D-данных;

— Проведение тест-дизайна и разработка тестовой документации. — Комплексная проверка функционала с использованием различных подходов, уровней и типов тестирования.

• Own and implement AI features in production, leveraging LLMs and your own models. • Train specialized models for tasks like content moderation and recommendation.

Location: San Francisco Bay Area, USA Workplace: Hybrid WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for a GTM Engineer to build, customize, and connect the business systems that power our go-to-market organization. You’ll work across Ironclad, Clay, HubSpot, Salesforce, and n8n to streamline contract management, automate revenue workflows, and make our systems reliable as we scale. This is a hands-on role for someone who combines operational judgment with strong engineering skills. You’ll partner closely with RevOps, Sales, and Legal to translate business needs into scalable workflows, custom integrations, and measurable improvements. WHAT YOU’LL DO - Own the customization and ongoing improvement of Ironclad and other business systems, including workflows, approval routing, data models, and integrations. - Partner with Legal and RevOps to connect contract intake, approvals, execution, and contract data with our CRM and downstream systems. - Build and maintain custom API integrations and automated workflows across Ironclad, Clay, HubSpot, Salesforce, n8n, and other tools. - Develop prospecting, enrichment, lead routing, and lifecycle automation that helps our GTM teams operate efficiently. - Design code-level monitoring, logging, and alerting to detect integration failures, workflow errors, and data quality issues. - Define and enforce data freshness Service Level Objectives (SLOs), including refresh schedules, monitoring, and remediation for stale or failed syncs. - Enforce system-wide email deliverability policies, including validation, suppression lists, sending limits, and bounce and complaint monitoring. - Troubleshoot issues across connected systems, identify root causes, and implement durable fixes. - Document integrations, system architecture, and operating procedures so workflows remain maintainable as the business grows. REQUIREMENTS - 5+ years of experience in GTM Operations, Revenue Operations, Growth Engineering, or a related technical operations role. - At least 3+ years of hands-on experience working with Ironclad, Clay, HubSpot, Salesforce, and n8n. - Strong experience customizing Ironclad contract management workflows and connecting contract data with other business systems. - Proficiency in Python or JavaScript/TypeScript, SQL, REST APIs, webhooks, and authentication methods such as OAuth. - Demonstrated ability to build reliable integrations, including error handling, retries, rate-limit management, and monitoring. - Experience implementing email deliverability controls and maintaining accurate, timely data across connected systems. - Strong understanding of GTM processes, CRM architecture, and the relationship between sales workflows, contracts, and revenue data. - Excellent judgment, communication, and prioritization skills, with the ability to turn ambiguous business needs into practical technical solutions. - Strong ownership and comfort working independently in a fast-moving startup environment/ COMPENSATION & BENEFITS We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth.   Base Salary: The anticipated salary range for this role is $130,000 - $175,000, depending on experience, skills, and location. In addition to cash compensation, we offer equity and a comprehensive benefits package to support you both professionally and personally.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office at least three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Cyprus; United Arab Emirates; Poland; Bulgaria; Georgia Full-Stack QA Engineer Location: Fully remote Reports to: QA Lead We’re looking for a QA Engineer to own quality across assigned areas of a financial trading product. The role combines hands-on manual testing, test automation, and release validation. Familiarity with forex, crypto, or trading is required. Responsibilities • Test features end to end, including functional, integration, API, regression, and exploratory testing. • Review requirements and acceptance criteria for gaps, unclear behavior, and quality risks. • Build and maintain E2E tests in TypeScript/JavaScript with Playwright and API integration tests in Python. • Investigate failing or flaky tests and improve automation reliability. • Work with developers, product managers, and the QA Lead to resolve issues. • Validate releases and communicate outstanding risks before deployment. • Use approved AI tools where they improve testing quality or efficiency. Requirements • Practical experience testing web applications, both manually and through automation. • Experience with Playwright and TypeScript/JavaScript for E2E testing, and Python for API integration testing. • Familiarity with forex, crypto, or trading products and concepts. • Ability to work independently, prioritize competing tasks, and take ownership of quality beyond individual test cases. • Clear written communication and attention to detail. • Native-level Russian and English at B2 level or above. Hiring Process 1. Interview with the QA Lead and Product Owner. 2. Final interview with the CTO.

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 - AI & Agentic Architecture This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE. What you'll do: Agentic & AI Engineering Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode. Integrate agentic development into CI/CD pipelines for automated code review, test generation, and PR feedback, tuned to minimize false positives and duplicate findings. Build and maintain MCP server integrations (project- and user-scoped) that extend agent-native development capabilities across engineering workflows. Identify high-value opportunities for AI-assisted development and design reusable capabilities that multiple teams can adopt, not just one-off solutions. Discovery, Prototyping & Production Delivery Partner directly with engineering teams to understand workflows, pain points, and opportunities through hands-on discovery. Rapidly prototype and validate new AI capabilities with real users, then take successful prototypes into secure, observable, maintainable production systems. Own the full lifecycle: implementation, testing, deployment, monitoring, and iteration. Technical Leadership Provide hands-on technical leadership through architecture discussions, code reviews, and troubleshooting of agentic systems. Mentor engineers on agentic design patterns, prompt engineering, and agent-native development practices. Communicate tradeoffs, risks, and results clearly to both technical and non-technical stakeholders. Contribute to engineering standards, reusable patterns, and documentation that help other teams build effectively with agentic development tools. Requirements 6+ years of professional software engineering experience, including significant hands-on work building and operating AI/LLM-powered or agentic applications. Strong programming skills (Java, Python, Go, Rust, or C++) and solid engineering fundamentals — API design, testing, debugging, code review, maintainable code. Practical, production-grade experience with agentic SDKs/harnesses, MCP, and LLMs — tool use, orchestration, RAG, context management, structured output, and evaluation. Experience designing MCP tool/resource interfaces and reasoning about tool selection, error handling, and reliability in multi-agent systems. Demonstrated experience integrating AI into CI/CD and developer workflows. Ability to work in ambiguous problem spaces, evaluate tradeoffs, and make pragmatic engineering decisions. Strong written and verbal communication skills, with experience mentoring and leading through influence. Bachelor’s degree or equivalent. Preferred Qualifications Demonstrated expertise across agentic architecture, MCP integration, Codex/Claude Code configuration, prompt engineering, and context management. Experience building multi-agent research or customer support systems, or structured data extraction pipelines. Experience with AWS, Docker, Kubernetes, Terraform, and GitOps in support of AI/agentic infrastructure. Familiarity with vector databases, embeddings, and AI evaluation frameworks. Contributions to open-source projects involving AI, agentic systems, or developer tooling. Strong systems thinking — understands how models, agents, tools, context, APIs, data, and infrastructure fit together as production systems, and can reason about dependencies and tradeoffs across the stack. A track record of adapting quickly to new AI tools, models, and frameworks as the space evolves. 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. $177,300 — $265,900 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: Montreal, Canada Role overview: Our client is seeking a Satellite Bus System Engineer to design structural, thermal, power distribution, attitude control, propulsion, CD&H, TT&C/PDT, FSW and interface architecture that supports payloads and mission‑operations for current and next‑generation remote sensing and communications satellites. The role leads the definition, design, integration, verification and on‑orbit support of the platform subsystems, ensuring compliance to mission requirements and our client's best‑practice processes. Tasks summary: Architecture Concept & Requirements Translate mission‑level requirements (CONOPs, mass, volume, power, envelope, pointing, lifetime, redundancy, reliability…etc.) into system requirements and allocate them to platform subsystems (structures, TCS, EPS, GNC, PROP, C&DH, TT&C/PDT, FSW). Develop the Platform Architecture Description Document, Interface Control Documents (ICD) and Design Description. Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Lead trade studies for structural approach, thermal control concepts (MLI, heat pipes, radiators…etc.), power generation options (e.g. solar array & battery technologies). Concept Trade & Feasibility Detailed Design Oversee detailed design of all major subsystems (structures, TCS, EPS, PROP, C&DH, C&T, GNC, payload interfaces). Conduct failure‑mode‑effects‑analysis (FMEA) in support to FDIR, fault‑tree analysis and reliability & availability predictions. Ensure compliance with mission requirement and payload specifics. Maintain platform level performance budgets Support FSW and Satellite Reference Database developments Cross‑Functional Coordination, Stakeholder & Program Interaction Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs with payload and all platform subsystems. Support to DC & RF harness design, Platform and Payload layout. Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) Author verification plans, test matrices, and validation procedures for unit, subsystem, and platform level tests. Coordinate, supervise or support: o  Structural vibration, acoustic & shock testing o TCT & Thermal vacuum testing o  Power distribution functional test o  Closed‑loop test on avionic testbed Support FSW integration Technical Leadership & Mentorship Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management Maintain platform‑wide standards (structural margin, thermal‑control, power‑bus architecture, redundancy philosophy…etc.). Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. Provide real‑time platform engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. Support SOOH development and associated operator training. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or Physics with 10 + years of system design experience on LEO/MEO/GEO platforms. Deep knowledge of spacecraft bus subsystems and their interactions. Experience with power‑electronics design and high‑precision attitude‑control hardware. Strong understanding of aerospace system engineering fundamentals Hands-on individual who can support systems integration processes and capability to test systems and resolve problems Experience with Confluence and JIRA Demonstrated capability to efficiently work with little supervision Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. This position offers remote set-up for US and Canadian Citizen and provides relocation assistance for Europeans. Contract-to-permanent candidates are strongly preferred , although pure contract candidates will also be considered. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced Synthetic Aperture Radar (SAR) Payload Engineer to support the development, integration, and testing of advanced SAR remote sensing payloads for LEO and MEO satellite missions. In this role, you will collaborate with multidisciplinary engineering teams to design, integrate, and validate high-performance radar payload systems while ensuring mission requirements are met throughout the development lifecycle. The ideal candidate has extensive experience in SAR systems, satellite payload integration, and aerospace systems engineering. Key Responsibilities Support the design, development, integration, and testing of Synthetic Aperture Radar (SAR) payload systems. Define and manage system requirements, interface control documents (ICDs), and technical specifications. Support payload integration, verification, validation, and troubleshooting activities. Develop technical documentation, including requirements, test procedures, risk assessments, and engineering reports. Collaborate with customers, suppliers, and multidisciplinary engineering teams throughout the project lifecycle. Participate in system design reviews, trade studies, and technical analyses. Support payload performance evaluation and system optimization. Utilize Confluence and JIRA to support engineering documentation and project execution. Required Qualifications Bachelor's degree in Electrical Engineering, Computer Science, Physics , or a related field. 10+ years of experience supporting Synthetic Aperture Radar (SAR) remote sensing system development, integration, and testing for LEO and/or MEO satellite missions . Strong understanding of aerospace systems engineering principles. Hands-on experience supporting system integration, testing, troubleshooting, and issue resolution. Strong technical writing skills, including requirements, ICDs, test procedures, and risk documentation. Experience using Confluence and JIRA . Ability to work independently and solve complex engineering problems through analytical and creative thinking. Excellent written and verbal communication skills in English . Preferred Qualifications French language proficiency. Experience supporting end-to-end SAR payload development for commercial or government satellite programs. Strong background in satellite payload integration, remote sensing systems, and mission verification. Experience working on advanced Earth observation or spaceborne radar missions.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Quality Platform Engineer at OnePay, your work will directly shape how confidently every engineering team ships to production, building the internal tooling that catches problems before they reach customers of a financial platform millions of people trust. You will: - Design and own shared automation frameworks used by engineering teams across web, mobile, and backend services - Build and maintain infrastructure that runs automated suites reliably at scale, including flaky-test detection and triage tooling - Partner with engineering teams to raise coverage and testing maturity, embedding quality practices into the development workflow rather than bolting them on afterward - Develop platform for test environment provisioning, data management, and parallelized execution to keep feedback loops fast - Define quality standards, provide observability (coverage, pass rates, run times), and maintain documentation and best practices to help engineers write and maintain effective automated tests YOU BRING - 5+ years of professional experience in frontend/backend/platform engineering with a strong testing focus - Proficiency in TypeScript/Node.js or similar languages, with experience architecting test frameworks rather than just writing test cases - Experience with cloud-native infrastructure (Kubernetes, AWS) and containerized test environments - Familiarity with testing across the stack: API/integration testing, end-to-end testing for web and mobile (e.g., React Native) - Strong communication and collaboration skills, able to influence testing practices across multiple engineering teams - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Battery Engineer focused on Cell Engineering to evaluate, qualify, and improve lithium-ion cells for current and future products. You will apply expertise in electrochemistry, cell design, testing, manufacturing, and failure analysis to ensure battery cells meet performance, safety, reliability, and product integration requirements. RESPONSIBILITIES: - Evaluate new cell designs, chemistries, form factors, and suppliers against product specifications and acceptance criteria. - Develop and execute cell qualification plans across incoming and outgoing quality control, performance, safety, reliability, environmental, and life-cycle testing. - Plan and conduct design of experiments (DOEs) to optimize cells for fit and performance needs. - Collaborate with battery system engineers to translate cell attributes into pack designs that meet overall product requirements. - Operate battery cyclers, environmental chambers, and laboratory equipment; create representative test profiles and analyze electrochemical data. - Partner with suppliers and cross-functional engineering teams to support process qualification, manufacturing readiness, and battery integration. - Lead cell-related failure investigations, root cause analysis, and corrective-action verification with suppliers and third-party laboratories. - Document and communicate qualification results, technical risks, and recommendations through specifications, reports, and design reviews. - Ability to travel up to 15% domestically and internationally to support supplier visits, factory audits, qualification activities, and failure investigations. QUALIFICATIONS: - Bachelor’s degree in Chemical Engineering, Materials Science, Mechanical Engineering, or a related field with 5+ years of relevant experience; or a master’s degree or PhD with 2+ years of relevant experience. - Strong understanding of lithium-ion electrochemistry, cell design, manufacturing processes, and degradation mechanisms. - Hands-on experience with cell characterization, qualification testing, and battery cyclers such as Arbin, Maccor, or similar systems. - Experience analyzing battery data, conducting failure investigations, and developing clear technical recommendations. - Experience collaborating with battery suppliers, manufacturing partners, and cross-functional product development teams. - Experience with Python, MATLAB, Minitab, JMP, or similar tools for data processing, statistical analysis, and visualization. - Familiarity with cell teardown, cross-sectioning, microscopy, CT scanning, gas analysis, or other advanced failure analysis techniques. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Staff Engineer, Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. One of the fundamental problems facing autonomy teams is the sim-to-real gap in visual-spatial understanding, and we're applying decades of experience encoding the world precisely as it is to build the scalable real-to-sim stack for embodied AI. Working alongside the group's General Manager and Product leader, you'll inform the roadmap, own the technical requirements our researchers and engineers build against, and personally prototype and evaluate the changes you propose. You've lived the problems our customers are solving: you've trained and deployed embodied AI systems, seen where and why simulation fails to predict real-world performance, and worked through the consequences. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial tech lead who loves to build and is energized by helping those around them do the best work of their lives. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Sharpen the Roadmap - Bring first-hand knowledge of customer pain, existing solutions, and the value of doing better to roadmap decisions, and help focus effort on the most consequential problems to solve. - Own the Technical Requirements - Guide the team to design the real-to-sim stack pragmatically. Make the final recommendation on what to build, integrate, and simplify, ensuring capabilities work within customers' existing training and evaluation workflows. - Benchmark the Impact - Working with our Real-World Test Lab, design and run reproducible evaluations that measure the impact of our real-to-sim stack on policy transfer and real-world performance against customers' existing approaches. - Build and Ship - Lead engineering delivery and personally build critical features. Keep scope tight, remove blockers, and get performant capabilities into customers' hands quickly. - Raise the Technical Bar - Set a high bar for the team's work and deepen its understanding of robotics development and deployment, driving incremental improvement every week. What You'll Bring - Experience training, evaluating, and deploying robot policies in systems used by enterprise or government customers, with responsibility for performance in real operating conditions. - Deep practical experience using simulation for policy training or evaluation, including tools such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or equivalent. You have diagnosed sim-to-real failures and understand when greater fidelity improves outcomes. - Hands-on experience with reinforcement learning, imitation learning, or both, and with deep-learning frameworks such as PyTorch. - A practical understanding of how visual perception and 3D scene representations affect robotics training, evaluation, and real-world performance. - Experience running experiments on real robots, from an ambiguous hypothesis through to defensible results. - Strong Python and C++ skills, with experience building reliable production software. - A bachelor's degree or higher in a relevant field. Nice to Have - You've authored or maintained a public robotics benchmark. - You've helped take an early product to repeatable adoption across multiple customers. - You've built or substantially extended robotics simulation infrastructure, including scene authoring, domain randomization, or large-scale training and evaluation. - You've trained and deployed vision-based navigation or mobility policies, particularly in varied, unstructured environments. - You've built pipelines that turn real-world reconstructions into simulation-ready environments. Competencies - Always Learning. Staying on top of the latest academic breakthroughs and commercial advancements, particularly in real-to-sim-to-real. - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to delivering customer value without going through one-way doors that undermine future scaling. - Confident and credible with customers. You can sit alongside an autonomy engineer and help them get to the root of their problems. You are comfortable speaking to customers and bring commercial nous to those discussions. Compensation & Benefits The expected salary range for this role is $270,000 – $300,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Looking for an engineer who has hands-on experience building AI agents that actually execute workflows, not just chat interfaces. You’ll work on agents that connect to APIs and internal systems, use tools, retrieve context, make decisions across multiple steps, and recover when something fails.

Looking for an engineer who has hands-on experience building AI agents that actually execute workflows, not just chat interfaces. You’ll work on agents that connect to APIs and internal systems, use tools, retrieve context, make decisions across multiple steps, and recover when something fails.

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We’re hiring an experienced Engineering Manager to lead Dashboard, the team helping customers get more value from the WorkOS suite and helping WorkOS grow as a business. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would. You’ll lead engineers working across customer onboarding and growth, billing and monetization, and AI assistance in the WorkOS dashboard. The team’s work connects the customer journey from signup and integration through production and expansion. You’ll partner closely with design, go-to-market, finance, and other engineering teams to make that journey simpler and more effective. This role offers meaningful autonomy to shape what we build and why. It’s a great fit for a strong product thinker who enjoys working closely with product managers and taking the lead on product decisions when the opportunity calls for it. You’ll have room to identify customer problems, propose new directions, and carry ideas from discovery through launch, with ownership of the outcomes. If you’re excited by the chance to combine engineering leadership with product judgment, there’s a lot to build here. You’ll also drive technical strategy, empower your team to execute on projects with a direct impact on customer success and the business, and play a pivotal role in scaling the team and recruiting exceptional engineers. WHAT YOUR TEAM WILL BUILD - Growth and onboarding: help developers move from signing up to integrating and running WorkOS in production. Improve onboarding and next steps, and work with go-to-market teams on timely outreach informed by product signals. - Billing and monetization: build annual-credit capabilities, make billing more reliable and automated, and give customers clearer pricing, usage, and credit information in the dashboard. - AI assistance for developers: bring the Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot into a coordinated experience, with shared retrieval, evaluations, and quality standards. Help developers get useful, consistent answers and make progress with WorkOS. RESPONSIBILITIES - Build and lead a high-velocity team that ships product fast and with polish across growth, monetization, and developer assistance. - Be deeply technical and hands-on: read the PRs, write prototypes, and work with technical leads on architecture and project scope. - Shape the roadmap in close partnership with product managers, design, go-to-market, finance, and engineering. Bring your own product perspective, identify opportunities, and drive product decisions directly where needed—from defining the problem and choosing an approach to measuring the outcome. - Help the team improve the customer journey from signup to production and expansion, using product signals and customer feedback to choose what to build next. - Balance rapid product iteration with the reliability and correctness customers need from billing and the quality they expect from AI assistance. - Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out. - Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft. - Coach, mentor, and grow a team of curious, driven engineers through direct feedback, clear goals, and meaningful ownership. - Partner with recruiting to attract, hire, and retain exceptional engineering talent. QUALIFICATIONS - Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact. - You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back. - Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning. - You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy. - You ask "why" obsessively, and you push yourself (and your team) to learn constantly. - You build trust, give direct feedback, and create space for engineers to thrive. - You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large and important part of your role, and have a track record of recruiting, hiring, and mentoring top engineering talent. - You’re a strong product thinker who connects customer needs, technical possibilities, and business outcomes. You collaborate well with product managers and are comfortable driving product decisions yourself, using customer insight and evidence to make tradeoffs and build alignment. Experience with onboarding and growth, billing systems, or customer-facing AI products is especially relevant. You do not need prior experience in all three areas. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup 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: $500,000 — $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.