Software Engineer, Product Velocity
Role Overview
We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production.
This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems.
In this role, you will:
Reduce local development startup and iteration latency for ChatGPT engineers
Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations.
Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns.
Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers.
Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting.
Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action.
Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain.
You might thrive in this role if you:
Have strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability.
Can debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines.
Are comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents.
Think in product loops as much as systems loops: you care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy.
Know how to replace repeated manual intervention with policy-backed automation while preserving production safety.
Communicate well across teams and can turn ambiguous "this is slow/broken/flaky" reports into crisp owners, hypotheses, metrics, and shipped fixes.
Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem.
Are energized by high-leverage work where a small improvement can save hundreds of engineering hours.
Nice to have:
Experience improving developer experience in a very large monorepo.
Experience with remote execution, remote caching, hermetic builds, or cache reproducibility.
Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems.
Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows.
Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution.
Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development.
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.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Key Skills for This Role
Full Job Posting
About the Role
We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production.
This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems.
In this role, you will:
Reduce local development startup and iteration latency for ChatGPT engineers
Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations.
Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns.
Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers.
Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting.
Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action.
Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain.
You might thrive in this role if you:
Have strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability.
Can debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines.
Are comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents.
Think in product loops as much as systems loops: you care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy.
Know how to replace repeated manual intervention with policy-backed automation while preserving production safety.
Communicate well across teams and can turn ambiguous "this is slow/broken/flaky" reports into crisp owners, hypotheses, metrics, and shipped fixes.
Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem.
Are energized by high-leverage work where a small improvement can save hundreds of engineering hours.
Nice to have:
Experience improving developer experience in a very large monorepo.
Experience with remote execution, remote caching, hermetic builds, or cache reproducibility.
Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems.
Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows.
Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution.
Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development.
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.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About OpenAI
OpenAI is an AI research company building general-purpose artificial intelligence systems, known for creating ChatGPT and the GPT series of large language models.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at OpenAI
Data Center Electrical R&D Design Engineer
, USA
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The team defines the technical direction for next-generation data centers and de
Data Scientist, Personalization & Machine Learning
, USA
About the Team We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engin
Forward Deployed Engineer (FDE) - AI Infra - SF
, USA
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
Content Marketing Manager, Events
, USA
About the Team The B2B Content team helps business and technical audiences understand what AI makes possible and how to put it to work. We turn product expertise, research and customer experience into useful stories, pre
Project Manager, Design and Construction - R&D/Lab Buildouts
, USA
About the Role As an Industrial Builds Project Manager on the Design & Construction team, you will support OpenAI’s research, scaling and manufacturing activities by providing project management and leadership on mission
Events Designer, Business Marketing
, USA
About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the wor
Software Engineer, Physical Engineering
, USA
About the Team The Physical Engineering team sits within OpenAI’s Enterprise Verticals organization. We’re exploring how frontier AI can help people design, simulate, and build better physical products—shortening develop
Value Engineer - San Francisco
San Francisco, USA
About the Team The Value Engineer Team helps customers turn frontier AI into real business value. We accelerate adoption of OpenAI technology at scale and guide organizations from initial activation to measurable, organi
Data Center Electrical R&D Design Engineer
, USA
Data Scientist, Personalization & Machine Learning
, USA
Forward Deployed Engineer (FDE) - AI Infra - SF
, USA
Content Marketing Manager, Events
, USA
Project Manager, Design and Construction - R&D/Lab Buildouts
, USA
Events Designer, Business Marketing
, USA
Software Engineer, Physical Engineering
, USA
Value Engineer - San Francisco
San Francisco, USA
