Silicon Implementation Engineer – Custom Circuits
Description For Silicon Implementation Engineer – Custom Circuits
OpenAI is seeking a Silicon Implementation Engineer to join their Scaling team, focusing on hardware optimization and co-design for AI systems. This role combines deep technical expertise in hardware architecture with machine learning applications, making it crucial for OpenAI's mission to develop safe and beneficial AGI.
The position offers an exciting opportunity to work at the intersection of hardware and AI, where you'll collaborate with various teams to optimize hardware solutions for OpenAI's advanced ML workloads. You'll be responsible for co-designing future hardware architectures, developing performance models, and working closely with hardware vendors to influence their roadmaps for OpenAI's specific needs.
The role requires a unique blend of skills, combining hardware expertise with software optimization knowledge. You'll be working in a hybrid environment (3 days in office) in San Francisco, with competitive compensation including a base salary range of $310K-$460K plus equity and comprehensive benefits.
Key aspects of the role include optimizing large language model distribution across devices, addressing system-wide networking bottlenecks, and tailoring compute and memory hierarchies. You'll work with cutting-edge AI technology while collaborating with talented engineers across different specialties.
The ideal candidate brings 4+ years of industry experience, strong software/hardware co-design background, and expertise in GPU/AI accelerators. This role offers the opportunity to shape the future of AI hardware infrastructure while working with one of the leading companies in artificial intelligence research and deployment.
OpenAI provides an inclusive work environment with excellent benefits, including comprehensive healthcare, mental health support, generous parental leave, and learning opportunities. The company is committed to ensuring AI benefits all of humanity and values diverse perspectives in achieving this mission.
Responsibilities For Silicon Implementation Engineer – Custom Circuits
- Co-design future hardware for programmability and performance with hardware vendors
- Assist hardware vendors in developing optimal kernels and add support in compiler
- Develop performance estimates for critical kernels
- Build system performance models at different abstraction levels
- Work with ML engineers, kernel engineers and compiler developers
- Manage communication with internal and external partners
- Influence hardware partners' roadmap
- Evaluate potential partners' accelerators and platforms
- Optimize ML platform code for target hardware
Requirements For Silicon Implementation Engineer – Custom Circuits
- 4+ years of industry experience in compute at scale
- Strong experience in software/hardware co-design
- Deep understanding of GPU and/or other AI accelerators
- Experience with CUDA, Triton or related accelerator programming language
- Experience driving Machine Learning accuracy with low precision formats
- Experience with system performance modeling and analysis
- Strong coding skills in C/C++ and Python
- Familiar with deep learning computing and chip architecture
- Ability to collaborate with ML engineers and other technical teams
Benefits For Silicon Implementation Engineer – Custom Circuits
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Generous time off and company holidays
- 24 weeks paid birth-parent leave & 20-week paid parental leave
- Annual learning & development stipend ($1,500 per year)
- Equity compensation
- Relocation assistance available
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