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Software Engineer, API Multimodal

OpenAI

Software Engineer, API Multimodal is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $266k–$445k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$266k–$445k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world.

  • Function: Infrastructure
  • Seniority: mid
  • python
  • typescript
  • rust

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $266k–$445k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale multimodal APIs, including image generation https://openai.com/index/introducing-chatgpt-images-2-5/ and Live API https://openai.com/index/introducing-gpt-live-1-in-the-api/. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: - Design, build, and ship developer-facing APIs and backend services that serve frontier models. - Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. - Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. - Own the availability, latency, scalability, and cost efficiency of the services you build. - Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: - 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. - A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. - Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production. - Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript. - Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and

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