Systems Integration Engineer, Build Systems | Consumer Devices

We are looking for an engineer to help evolve OpenAI’s Consumer Products build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, software quality, and on-device software. You will work on the systems that determine how quickly and confident engineers can move: Bazel-bazed builds, Buildkite pipelines, test coverage, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly.

Our mission is to enable OpenAI to ship software running on consumer devices rapidly with a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping products instead of fighting infrastructure.

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

Own and evolve Bazel and yocto-based build and test workflows in a polyrepo environment

Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt

Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, retry behavior, and flake isolation.

Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling

Unify local and CI development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack

Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/execution systems

Instrument build and CI systems with metrics, logs, traces, dashboards, and analytics so we can measure speed, reliability, cost, and developer impact

Partner directly with users to understand pain points, onboard projects, debug hard build issues, and remove systemic bottlenecks

Use modern AI tools to pioneer novel CI failure analysis, flaky test debugging, PR triage, automated remediation, and developer-facing information

Own the reliability of the systems you build, including participating in an on-call rotation for critical developer and factory infrastructure

Technologies Commonly Used In This Environment Include

Bazel and Starlark for build and test workflows

Buildkite for CI orchestration

Docker and OCI images for build and runtime packaging

Kubernetes for CI runners and infrastructure orchestration

Python, Go, TypeScript, Rust, C++, and other languages in a large monorepo

Terraform for infrastructure as code

Remote caching, remote execution, artifact storage, and build telemetry systems

Minimum Qualifications:

5+ years of engineering experience, including significant experience building infrastructure and tooling for developers

Hands-on experience with Bazel, Buck, Gradle, or similar build systems, and understand the trade offs of hermetic builds, dependency graphs, caching, sandboxing, and remote execution

Have built CI systems at scale, especially in environments where build time, queue time, test flakiness, and developer trust materially affect engineering velocity

You May Be A Strong Fit If You

Are comfortable with owning production software and working in environments with strong SLA requirements

Can debug distributed build and CI failures across source control, dependency management, containers, runners, remote caches, test frameworks, and service infrastructure.

Care deeply about developer experience and have empty for the small sources of friction that slow teams down or create operational toil

Are excited to apply AI to developer infrastructure in ways that increase team velocity without weakening quality, reliability, or safety

Have operated in a polyrepo environment with source code from multiple parties

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.

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