Key responsibilities include designing, implementing, and optimizing distributed training systems, developing high-performance optimizations, and establishing standards for reliability, maintainability, and security. You'll collaborate with researchers and engineers to build scalable infrastructure and publish learnings through internal documentation, open-source libraries, or technical reports.

We're looking for someone who blends deep systems and performance expertise with a curiosity for machine learning at scale. A strong understanding of deep learning frameworks, such as PyTorch, and experience working on distributed training for large models are preferred. If you have a track record of improving research productivity through infrastructure design or process improvements, that's a plus.

This role is based in San Francisco, California, and offers a competitive salary range of $350,000 - $475,000 USD per year, depending on background, skills, and experience. We sponsor visas and offer generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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We're on the lookout for talented Mobile iOS Engineers who are passionate about creating amazing user experiences. In this role, you'll have the chance to dive into developing features that are not just functional but truly intuitive and enjoyable for our users. We want you to take ownership of scaling our shared services while keeping up with the latest in the iOS world. You'll work closely with teams across Product, Identity, Security, System Design, and Infrastructure, collaborating to build solutions that really make a difference.

If you're excited about building elegant, scalable apps and being part of a supportive, innovative mobile team, we'd love to hear from you!

About the Team:

At Gusto, we're excited to be at a pivotal moment in our journey with over 1M+ monthly active users and the recent launch of our employer experiences on mobile. Our mission is to tackle the real challenges faced by small business owners and their employees, and we believe that mobile is key to delivering impactful solutions. As part of our mobile team, you'll be at the forefront of this transformation, working alongside talented engineers and designers who are passionate about creating a seamless mobile experience. Together, we're building a platform that empowers everyone,small business owners and their teams,to thrive.

Here's what you'll do day-to-day:

• Architect, build, test, and refine Gusto's native iOS app, along with supporting mobile web views that enhance user experience.
• Develop, iterate, and improve product features that integrate core business functions, work tools, value-added services, and financial products.
• Collaborate closely with our product management, design, and partner teams to identify technical and customer pain points, brainstorm solutions, and then prototype, iterate, and launch those solutions.
• Work cross-functionally with teams in product apps, identity, security, design systems, and infrastructure to deliver world-class experiences right into our customers' hands.
• Build and scale essential services, such as push notification systems and localization features, to enhance app functionality.
• Enhance and maintain our iOS mobile infrastructure, including build pipelines, testing automation, and the release process, to ensure smooth operations.

Here's what we're looking for:

• A minimum of 6 years of experience in Swift and iOS software engineering, with at least 8 years in mobile software engineering overall.
• Excellent communication skills and a knack for building strong cross-functional partnerships.
• A self-driven mindset with the ability to tackle greenfield projects and bring innovative ideas to life.
• Proficiency in iOS testing frameworks and a solid understanding of best practices.
• Experience in developing platform components and common features that enhance scalability, consistency, and maintainability throughout the product development lifecycle.
• Strong critical thinking abilities and a keen attention to detail.
• A willingness to learn continuously and a passion for mentoring others on the team.

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You will own and influence systems spanning Salesforce CRM, CPQ, Billing, Partner Portal, and their integrations into the broader Commerce ecosystem, driving improvements in platform architecture, system simplification, and data consistency across complex, distributed workflows.

Responsibilities:

• Design and evolve scalable backend systems that power Dropbox's Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.

Requirements:

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications:

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

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Support and review system block diagrams, interface control documents, and schematics for compliance, redundancy, and accuracy against requirements and concept of operations. Lead Failure Modes & Effects Analysis efforts and collaborate with cross-functional Engineering teams to implement product improvements for Reliability.

Perform predictive reliability analysis to calculate probability of loss of control, loss of asset, and MTTF/MTBF utilizing Anduril requirements, specifications, and relevant industry standards (i.e. MIL-HDBK-217Plus). Develop Qualification Test plans to ensure appropriate requirements coverage, and work with Test Engineering to fixture, instrument, and execute test campaigns.

Develop Maintainability prediction models using MIL-HDBK-472, and support the development of Preventative Maintenance & Sparing plans. Perform Weibull analysis utilizing data from Qualification campaigns and from fielded assets. Work with Quality and Manufacturing Engineering to ensure inspection and acceptance test gates are in place and documented against requirements.

Use data analysis techniques to highlight key problem areas for deployed products, and drive root cause analysis & corrective action implementation to closure. Develop and implement Reliability processes for the business to improve and streamline our Design, Manufacturing, and Deployment Operations efforts for rapid development.

Support Development Milestone Reviews through identification of appropriate entry and exit criteria, and work with Quality Engineering to guide the hand off process to production.

Required qualifications include a minimum of 5 years experience as a Reliability Engineer or Design/Development Engineer, a B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline, and experience with safety-critical hardware & software systems in the defense or aerospace industry.

Preferred qualifications include a M.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline, and experience with DO-254, DO-178, MIL-HDBK-217Plus, MIL-HDBK-472, ARP-4754.

The salary range for this role is $146,000-$194,000 USD. Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver & wellness leave, family planning & parenting support, mental health resources, professional development, commuter benefits, and relocation assistance.

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You'll join a small, Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features.

In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time.

Responsibilities:

• Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.

• Help maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.

• Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.

• Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.

• Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.

• Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.

• Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.

• Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).

Requirements:

• Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (incident responses, and follow-ups, etc).

• Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.

• Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.

• Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.

• Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.

• A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).

• Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.

• Comfort working in a low-process, high-ownership environment where you take responsibility for your work, communicate progress clearly, and help refine problem statements with your teammates.

• Strong written communication and comfort collaborating asynchronously across time zones in an all-remote team.

About the team:

We sit within the Data Engineering organization. We're a small group of senior engineers and we work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously and optimize for strong ownership rather than a feature factory model. We each build a meaningful understanding of the system and help evolve it over time. A key challenge for us right now is scaling sustainably. That includes hardening multi-tenant behavior, maturing observability and readiness, and keeping the system healthy and maintainable as usage grows and team members take time off. At the same time, we're bringing Knowledge Graph to general availability (GA).

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In this role, you'll work closely with frontend engineers, Product, UX, and Security to create reliable, scalable systems that support both technical and non-technical users across GitLab's planning experience. As part of GitLab's AI-first culture, you'll also use the Duo Agent Platform in your daily workflow to improve productivity and support faster iteration.

Some examples of our projects:

• Building AI agents such as the planner agent to support planning and knowledge management workflows
• Architecting MCP integrations that expose GitLab GraphQL APIs to external AI tools and platforms

As a senior engineer, you'll lead backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab. You'll design and build AI agents that support planning and knowledge management workflows. You'll also architect MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools.

Key responsibilities include:

• Leading backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab
• Designing and building AI agents that support planning and knowledge management workflows
• Architecting MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools
• Driving improvements in reliability and performance across application code, PostgreSQL queries, Redis usage, and background jobs
• Developing and evolving GraphQL APIs that are clear for frontend engineers and support scalable product experiences
• Collaborating with frontend engineers, Product, UX, and Security to break down complex work into shippable iterations
• Mentoring engineers through code review, technical discussions, and shared backend best practices
• Supporting incident response and production debugging, then turning learnings into lasting system improvements

Requirements include:

• Strong experience building and maintaining backend applications with Ruby on Rails, including core components such as ActiveRecord and Redis
• Experience designing and supporting GraphQL APIs with attention to usability, maintainability, and performance
• Knowledge of PostgreSQL query design, optimization, and scaling in high-traffic production systems
• Experience building or integrating AI agents, intelligent workflows, or related platform capabilities
• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting APIs to external tools and platforms
• Ability to investigate production issues, debug complex systems, and improve reliability over time
• Experience leading technical decisions, mentoring engineers, and contributing to engineering standards across a team
• Clear communication and cross-functional collaboration skills, with openness to candidates who bring transferable experience from adjacent backend or platform work

The Plan: Knowledge group owns core knowledge management experiences in GitLab, including Wiki, Pages, Markdown, and Text Editors, and is expanding those foundations with AI-powered capabilities such as the planner agent and MCP-based integrations. The team includes 6 engineers and works with a Product Manager, Engineering Manager, Product Designer, and Technical Writer.

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As a Staff Thermal Engineer, you will contribute to thermal analysis and design efforts for unmanned aerial vehicle avionics and thermal/fluid systems. You will develop and validate analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD. You will drive test planning, instrumentation, and data analysis to correlate models with experimental results.

Key responsibilities include:

• Contributing to thermal analysis and design efforts for unmanned aerial vehicle avionics and thermal/fluid systems
• Developing and validating analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD
• Driving test planning, instrumentation, and data analysis to correlate models with experimental results
• Communicating technical findings clearly through executive-level briefings, design reviews, and written reports

Requirements include:

• B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline
• Minimum 7 years of professional experience in avionics or electronics thermal engineering
• Strong expertise in heat transfer (conduction, convection, radiation) and fluid mechanics
• Deep understanding of active and passive cooling solutions and their integration at component and system level
• Proficiency with thermal analysis and CFD tools (e.g., ANSYS Icepak, FloEFD, STAR-CCM+)
• Proficiency with CAD design tools such as NX, SolidWorks, or similar
• Demonstrated experience applying first-principles reasoning to complex engineering problems
• Strong written and verbal communication skills, with a track record of leading technical discussions and presenting to stakeholders

Preferred qualifications include:

• M.S. or Ph.D. in a relevant engineering discipline
• Experience with high-altitude aircraft avionics cooling and thermal design
• Familiarity with aircraft integration constraints (power, weight, volume, maintainability, safety)
• Hands-on experience with thermal and fluid system testing, instrumentation, and validation
• Knowledge of materials and manufacturing methods relevant to thermal management (pumps, heat exchangers, composites, etc.)
• Experience guiding trade studies, proposals, and customer interactions in aerospace or defense programs
• Background in multi-disciplinary system integration, spanning avionics, fluid systems, and systems engineering

Salary: $136,730 - $205,096 a year

Benefits: Pay within range listed + Bonus + Benefits + Equity

Note: Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location.

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As the initial QA owner, you will design, execute, and report on test cycles for enterprise applications and integrations. You will also define and implement QA operating rhythms and governance, including test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

Key responsibilities include:

• Building and owning the QA strategy for Enterprise Technology, including standards, test planning, and quality gates across the delivery lifecycle.

• Operating hands-on as the initial QA owner: design, execute, and report on test cycles (functional, integration, regression, and UAT support) for enterprise applications and integrations.

• Defining and implementing QA operating rhythms and governance: test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

• Partnering with product and delivery teams to translate requirements and user stories into testable acceptance criteria and comprehensive test coverage.

• Establishing and maintaining a QA toolchain (test case management, defect tracking, and reporting) and integrating it with existing delivery tooling where applicable.

• Driving integration and end-to-end testing across enterprise platforms, including but not limited to Salesforce, NetSuite, Workday, MuleSoft/integration layer, MES touchpoints, analytics platforms, Slack/Confluence, DocuSign, and Ashby.

• Designing and maintaining regression testing approaches to minimize production defects as systems scale and change velocity increases.

• Implementing lightweight automation where it adds clear value, prioritizing maintainability and high-impact regression coverage.

• Ensuring documentation, auditability, and traceability from requirements through testing and release, aligned with change management and internal control expectations.

• Tracking and communicating quality metrics (defect trends, test coverage, escape rate, cycle time) to drive continuous improvement.

The ideal candidate will have 7+ years of experience in Quality Assurance, Test Engineering, or QA leadership roles supporting enterprise technology products and integrated systems. They will also have demonstrated experience building or formalizing QA processes and operating models in a growing or scaling organization.

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Sr. Consultant - Principal

London

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organisation allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

About Your Role

As a Senior Consultant / Principal Consultant – Palantir Engineer, you lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments. You operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions. You combine strong hands-on technical skills with a consulting mindset, taking ownership of solution design, implementation, and adoption across organisations.

Your role will include:

• Own the end-to-end delivery of Palantir Foundry–based solutions, from problem definition to production
• Design and implement data pipelines and transformations across diverse data sources
• Model data using Foundry Ontology concepts to support analytics and operational use cases
• Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry
• Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps
• Support prototyping, productionisation, and scaling of data-driven applications
• Ensure solutions meet requirements for data quality, governance, security, and performance
• Act as a technical advisor within project teams and contribute to best practices

Requirements

What you bring – required

Experience & Seniority

• Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering
• Strong experience delivering client-facing data solutions in complex environments
• Ability to take ownership and work independently in ambiguous problem spaces

Core Data & Analytics Technology Skills

• Strong programming skills in Python and SQL; PySpark experience required
• Hands-on experience with Palantir Foundry, including:
• Pipeline Builder / Code Workbook
• Data integration and transformation
• Ontology modelling and data lineage
• Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses
• Experience working with APIs, databases, and structured / semi-structured data

Engineering & Platform Foundations

• Experience building scalable ETL/ELT pipelines
• Familiarity with CI/CD concepts, testing, and production deployments
• Strong focus on solution quality, maintainability, and performance
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with containerisation (Docker, Kubernetes)
• Prior experience as a Palantir FDE or in Foundry-heavy delivery roles
• Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics

Benefits

About your team

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognised as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognised by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Solid communication skills.
• Familiarity with Azure.
• Experience with machine learning and data science tools and frameworks.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

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You will be a core contributor on the DevEx team, designing and building the systems, tools, and workflows that make every Cursor developer incredibly productive.

Your mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. You’ll architect, implement, and operate the foundations that power our engineering organisation—from local development to global deployments.

You’ll set technical direction within the team, write and review code, and collaborate across engineering to make it effortless for developers to build, test, and ship quickly. Excellence means Cursor engineers feel like they’re working in the best development environment in the world—one so good that parts of it could eventually become external features of Cursor itself.

Example Projects Include

• Building a multi-platform development environment that works seamlessly across macOS, Windows, and Linux.

• Designing and maintaining CI/CD systems—merge queues, build caching, flaky test quarantine, observability, and safe rollout pipelines.

• Automating developer machine provisioning—from laptop setup and reset automation to interview and onboarding workflows.

• Partnering with backend and infrastructure teams to ensure local testing and debugging _just work_, with near-perfect parity between development and CI environments.

You may be a fit if

• Have experience working on developer productivity, internal platform, infrastructure, or build/test systems.

• Regularly write and review code, and enjoy improving build systems, scripting CI pipelines, and refining developer tooling.

• Have built or maintained tooling or infrastructure for large-scale or multi-language codebases.

• Care deeply about developer velocity, reliability, and maintainability, and apply sound technical judgment to improve them.

• Are energized by tightening feedback loops and making development feel effortless, fast, and enjoyable.

We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.

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Cursor ships daily. Every release leaves signals behind: telemetry, prompts, completions, agent runs, sessions. Those signals power model improvement, evals, and experimentation. Data infrastructure is what turns them into something teams can trust.

A lot of systems here started simple so we could move fast. Over time, the constraints change and the “good enough” version becomes the bottleneck. This role owns the full ladder: patch what should be patched, redesign what should be redesigned, ship the replacement, and operate it.

Privacy guarantees are part of correctness. What we can retain and use depends on Privacy Mode and org configuration, and getting that wrong breaks a product promise. We choose work by business impact: what blocks product and model teams today, and what will block them next month.

Sample projects include...

• A core pipeline started as a pragmatic reuse of infrastructure built for something else. It works, but it cannot guarantee properties downstream consumers now need (for example, point-in-time consistency). You design and ship the replacement while keeping the existing system running.

• A new product surface ships without instrumentation. You talk to the team, define what needs to be captured, and wire it through before the absence becomes anyone else’s problem.

• Eval coverage drops. You trace it to an instrumentation gap introduced weeks ago by a product change nobody flagged. You fix the gap, add a contract so it cannot recur, and ship the dashboard that would have caught it earlier.

• Multiple consumers depend on overlapping data. You design schema evolution and validation so changes in one place do not silently degrade the others.

• Storage costs rise faster than usage. You decide what is worth keeping, implement retention and compression, and delete what is not.

What we're looking for

We’re looking for someone who has built real systems at scale and cares about correctness, cost, and ergonomics.

Strong signals include:

• Deep experience with Spark (Databricks or open-source Spark both count)

• Production experience with Ray Data

• Hands-on ownership of large data pipelines and storage systems

• Comfort debugging performance issues across client instrumentation, streaming, storage, and model-facing workflows, as well as, compute, storage, and networking layers

• Clear thinking about data modeling and long-term maintainability

• You have good judgment about when to patch and when to rebuild

Nice to have

• Experience running or scaling ClickHouse

• Familiarity with dbt, Dagster, or similar orchestration and modeling tools

We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.

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Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for a Senior iOS Engineer to build the core mobile monetization experiences and iOS foundations that power how users sign up, manage their account, access family features, pay for services, and interact with monetized experiences safely and confidently across OpenAI’s mobile apps.

This is a 0→1, greenfield opportunity: you’ll help define the architecture, primitives, and reusable frameworks that product teams depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll partner closely with backend, product, design, safety, and research to translate evolving requirements into high-quality iOS systems and experiences.

In this role, you will:

• Build and ship new monetization experiences on iOS, including purchase flows, subscription/plan management, and monetization-adjacent surfaces that showcase the power of AI.
• Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (e.g., identity, entitlements, payments, policy-aware UX).
• Own complex client-side systems spanning UI, networking, local state, observability, and Apple platform integrations (StoreKit, Sign in with Apple, device security primitives, etc.).
• Optimize performance, reliability, and responsiveness for global-scale usage, including robust offline/poor-network handling and safe rollout strategies.
• Establish and evolve testing frameworks (unit, integration, snapshot/UI, and end-to-end) and refine architecture for long-term maintainability.
• Collaborate deeply with Product, Design, Research, and backend teams to translate ambiguous goals into durable systems and delightful experiences.
• Help uphold the highest levels of safety, privacy, fairness, and policy compliance across monetization experiences.
• Provide technical leadership through architectural reviews, mentoring, and setting engineering standards across iOS monetization foundations.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with significant iOS ownership.
• Have a proven track record shipping high-quality iOS apps in production for business-critical, reliability-sensitive systems.
• Are fluent in Swift and experienced with Apple’s ecosystem (Xcode, SwiftUI).
• Have owned complex mobile systems end-to-end (architecture, delivery, instrumentation, quality, and operations).
• Care deeply about performance, security, privacy, and user experience, especially in flows involving identity and payments.
• Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch.

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Frontend Engineer, Identity

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Applied AI

Compensation

• $230K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied team at OpenAI brings cutting-edge AI technology into the hands of millions of people and businesses worldwide. We build and operate products such as ChatGPT, Sora, and the OpenAI API, delivering state-of-the-art multimodal capabilities across text, image, audio, and video. Our work spans product engineering, large-scale inference, and platform infrastructure — all designed to safely and reliably support global usage.

About the Role

As a Frontend Engineer on OpenAI’s Identity team, you’ll build the user-facing experiences that make secure access to OpenAI simple, clear, and trustworthy for organizations. You’ll design and implement core identity flows — such as sign-in, account management, permissions, and admin experiences — that enable enterprises to adopt OpenAI’s products with confidence.

You’ll work closely with design, product, security, and backend teams to translate complex identity systems like SSO, RBAC, and identity federation into intuitive, reliable interfaces. Your work will directly shape how users and administrators understand and manage access across OpenAI’s products, helping unlock secure, large-scale enterprise adoption of AI.

This role is based in San Francisco, California. There may be relocation options available.

In this role, you will:

• Build scalable, reusable frontend components and patterns for core identity experiences, including sign-in flows, account management, permissions, and admin surfaces.

• Partner closely with backend and security engineers to deliver end-to-end identity capabilities such as SSO, RBAC, SCIM provisioning, and delegated access through clear, intuitive interfaces.

• Translate complex authentication and authorization systems (e.g., SAML, OIDC, OAuth) into user experiences that are understandable, reliable, and trustworthy for both admins and end users.

• Help define frontend architecture, standards, and patterns for a shared identity platform used across OpenAI’s products.

• Build internal tools and surfaces that enable teams across OpenAI to integrate, manage, and reason about identity and access control effectively.

• Collaborate with Product, Design, Security, and Go-To-Market partners to turn ambiguous enterprise requirements into high-quality, user-centered interfaces.

You might thrive here if you:

• Have at least 5+ years of frontend engineering experience building and maintaining production-grade web applications, with a focus on usability, scalability, and long-term maintainability.

• Bring deep frontend expertise and genuine enthusiasm for frontend frameworks, performance optimization, latency, and building reusable, composable UI systems.

• Are excited to take ownership of critical access flows, helping scale and improve sign-in, permissions, and account experiences across OpenAI’s products.

• Enjoy working closely with cross-functional partners — including product, design, security, and go-to-market teams — to shape thoughtful, user-centered solutions.

• Have experience evolving or re-architecting production systems to support new capabilities and increased scale.

• Care deeply about user experience and take pride in crafting interfaces that make complex identity and access systems feel simple and trustworthy.

• Thrive in fast-moving environments where re

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

About the Role

As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organisations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments.

Responsibilities

• Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, and model behavior to make Codex a truly reliable teammate for organisations.

• Build the core team and enterprise primitives that make Codex usable at scale, including RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.

• Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.

• Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.

• Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability and scalability.

• Have experience working with large-scale systems, including designing and implementing APIs, data pipelines, and other critical infrastructure.

• Are passionate about building and maintaining high-quality software, with a focus on testability, maintainability, and scalability.

• Have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including engineering, product, and design.

• Are comfortable with ambiguity and uncertainty, with the ability to adapt to changing requirements and priorities.

• Have a strong sense of ownership and accountability, with the ability to drive results and deliver high-quality outcomes.

• Are committed to ongoing learning and professional development, with a desire to stay up-to-date with the latest technologies and trends in software engineering.

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Consumer Products Research prototypes the future of computing: we explore new modalities, interaction patterns, and system behaviors, then do the engineering required to make those ideas real in rigorous prototypes. The Neosensing team sits at the intersection of sensing, edge algorithms, and systems engineering. We build the end-to-end software that turns new signals into dependable capabilities—collection tooling and protocols, algorithm integration and evaluation hooks, and on-device loops that stay stable under real-world variability. We care deeply about software quality and iteration speed: clean interfaces, debuggability, observability, and performance under tight device constraints.

About the Role

As a Software Engineer on Consumer Products Research, you’ll sit at the boundary between algorithm development and shippable systems. You’ll work closely with algorithm engineers to translate prototypes into clean interfaces, reliable pipelines, and efficient on-device implementations—with strong attention to performance, observability, and real-world failure modes.

This is a software role first: we’re looking for someone who loves writing great code every day, takes pride in engineering craft, and is comfortable going deep enough into the algorithmic details to make the system work end-to-end.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and ship production software for sensing algorithms, translating algorithm prototypes into reliable end-to-end systems.

• Implement and own key parts of the Python shipping pipeline (integration surfaces, evaluation hooks, and quality/performance guardrails).

• Develop embedded/on-device software in an RTOS environment (e.g., Zephyr) and deploy models to device runtimes and hardware accelerators.

• Optimize real-time on-device perception loops (e.g., detection/tracking-style pipelines) for stability, latency, power, and memory constraints.

• Create data collection + instrumentation tooling to bring up new sensing modalities and accelerate iteration from prototype → dataset → model → device.

• Partner cross-functionally (algorithms, human data, firmware/hardware) to debug, profile, and harden systems against real-world variability.

You might thrive in this role if you:

• Love writing great software and want your work to sit close to novel sensing and edge algorithms.

• Understand algorithm behavior well enough to integrate, debug, and evaluate it—even if you’re not the primary model inventor.

• Have shipped production Python systems and care about clean interfaces, tests, and long-term maintainability.

• Enjoy embedded/on-device work and can debug across hardware, firmware, and higher-level application layers.

• Care about performance engineering and know how to profile and optimize under tight device constraints.

• Take ownership end-to-end and thrive in ambiguous, fast-moving, zero-to-one environments.

Bonus:

• Zephyr (or similar RTOS) experience.

• On-device ML deployment (NPU/GPU/DSP) and accelerator-aware profiling/optimization.

• Background in multimodal sensing, sensor fusion, or on-device perception.

• Experience building data collection systems and human-in-the-loop workflows (protocols, QA, metadata)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of our users and the broader community.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow.

Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth.

Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity.

In this role, you will:

• Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products.

• Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings.

• Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently.

• Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making.

• Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI.

• Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces.

You might thrive in this role if you:

• Software engineering experience, with added experience in payments, billing, or monetization seen as a bonus.

• Strong frontend engineering experience building and maintaining production-grade web applications, with an emphasis on usability, scalability, and maintainability.

• Enjoy engaging with various partners, particularly those outside of engineering.

• Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others.

• Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges.

• Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs.

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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