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OpenAI

Software Acceleration Engineer, Consumer Products

OpenAI, San Francisco, California, United States, 94199

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Software Acceleration Engineer, Consumer Products About The Team

The Software Acceleration team is responsible for building the tools, systems, and processes that super‑charge engineering velocity across our consumer hardware and software stack. We partner with hardware, embedded, and cloud teams to remove friction, reduce toil, and improve code health—while keeping build and release pipelines fast, scalable, and reliable.

About The Role

As a Software Acceleration Engineer, you will design and build the infrastructure and developer tools that enable rapid, high‑quality engineering across embedded, application, and cloud layers. You’ll work directly with cross‑functional teams to identify pain points, create scalable solutions, and ensure our build and release systems remain performant and reproducible.

Location & Work Model

This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees.

In This Role, You Will

Design, develop, and maintain systems that speed up development workflows, reduce manual effort, and raise product quality across embedded, application, and cloud layers.

Work directly with hardware and software teams to map pain points, capture requirements, and build tools that solve real‑world bottlenecks.

Collaborate with the broader Engineering Acceleration team to adopt and evolve internal systems for consumer hardware and software.

Drive consistent code structure, dependency management, and hygiene across heterogeneous stacks and third‑party vendor integrations.

Architect and scale performant build systems from on‑device embedded software to cloud infrastructure, ensuring reproducibility and rapid iteration.

You Might Thrive In This Role If You

Have deep experience designing and building scalable software systems.

Are proficient in Python, C, C++, or Rust, with solid Linux fundamentals (build systems, networking, process management).

Have a strong desire to architect systems that accelerate engineering velocity while simultaneously improving product quality.

Empathize with the frustrations and processes that slow engineering teams down, informed by hands‑on experience.

Have familiarity with Git, Bazel, Terraform, Buildkite, Postgres, Cosmos DB, FastAPI, or similar tooling.

Have a voracious desire to learn new skills and share knowledge clearly and concisely.

Are comfortable with ambiguity and rapidly changing conditions, seeing change as an opportunity to add structure and order when needed.

Have experience maintaining a quality bar and engineering velocity for products shipped at large scale.

Have built and developed engineering systems at an early stage from zero to one.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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.

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Compensation Range: $325K

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