In this role, you will:

📍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 📍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 📍Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads. 📍Evaluate potential partners’ accelerators and platforms. 📍Build simulations and performance models to progressively improve decision making fidelity. 📍As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.

You might thrive in this role if you:

📍4+ years of industry experience, including experience harnessing compute at scale or building semiconductors. 📍Strong experience in software/hardware co-design 📍Deep understanding of GPU and/or other AI accelerators 📍Experience with CUDA or a related accelerator programming language 📍Experience driving Machine Learning accuracy with low precision formats 📍Experience aligning future hardware with a well established HPC infrastructure 📍Are familiar with the fundamentals of deep learning computing and chip microarchitecture. 📍Able to actively collaborate with ML engineers, kernel writers and compiler developers

If this role isn’t the perfect fit, there are plenty of exciting opportunities in blockchain technology, cryptocurrency startups, and remote crypto jobs to explore. Check them on our Jobs Board.