Hardware / Software CoDesign Engineer - 3P
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integr
What this role actually needs.
Hardware / Software CoDesign Engineer - 3P at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integr
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Co-design future hardware for programmability and performance with our hardware vendors
- Assist hardware vendors in developing optimal kernels and add support for it in our compiler
- Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features
- Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking
- Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators
- Manage communication and coordination with internal and external partners
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.
- Strong experience in software/hardware co-design
- Deep understanding of GPU and/or other AI accelerators
- Experience with CUDA, Triton or a related accelerator programming language
- Experience driving Machine Learning accuracy with low precision formats
- Experience with system performance modeling and analysis to optimize ML model deployment
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to hardware / software codesign engineer - 3p is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $342K - $555K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
Search intent signals for this listing
Helpful keyword hooks for serious tech searchers and future programmatic job pages.
Ready to move on this role?
This page keeps the application flow simple while giving you enough context to decide quickly and move.