Research Engineer - AI for Chip Design
Description For Research Engineer - AI for Chip Design
Join Google DeepMind's innovative team working at the intersection of AI and chip design. As a Research Engineer, you'll be part of a team that has already achieved significant breakthroughs, including winning the IWLS 2023 Programming Contest and developing AlphaChip, which was used in designing Google's TPUs.
You'll work on revolutionizing AI applications in chip design, developing state-of-the-art AI methods and models that directly impact Google's products and services. The role offers opportunities to work with advanced ML models, tackle complex chip design challenges, and collaborate with hardware engineers and architects to bring novel ideas to life.
The team consists of research scientists, research engineers, and software engineers working in a unique culture that encourages long-term ambitious research grounded in real problems. You'll be involved in breakthrough projects ranging from RTL generation and verification to logic synthesis and physical design.
This position offers a competitive compensation package including base salary, bonus, equity, and benefits. The ideal candidate will combine strong technical expertise in ML with an interest in chip design, capable of driving research from conception to production while excelling in cross-team collaborations.
Join us in exploring new frontiers in AI and chip design, contributing to groundbreaking research that shapes the future of computing hardware. Your work will directly influence Google's next-generation products and potentially transform the entire chip design industry.
Responsibilities For Research Engineer - AI for Chip Design
- Contribute and drive ML for Physical Design, Logical Synthesis, Verification and RTL generation
- Architect, guide and vet designs, algorithms and solutions
- Identify unsolved impactful research problems in Chip Design
- Define Scope, plan and organize projects towards common goals
- Amplify impact by generalizing solutions into reusable libraries
- Share knowledge through publications, open sourcing and education
Requirements For Research Engineer - AI for Chip Design
- Ph.D. in Computer Science or related quantitative field, or B.S./M.S. with 5+ years of relevant experience
- Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization
- Experience or interest in Chip & Hardware Design and EDA
- Experience with JAX, TensorFlow, PyTorch or similar
- Strong research experience and publications in Machine Learning, Differentiable Programming, Discrete Optimization
Benefits For Research Engineer - AI for Chip Design
- Bonus
- Equity
- Benefits package
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