Research Engineer, Chip Design
Description For Research Engineer, Chip Design
Google DeepMind is seeking a Research Engineer specializing in Chip Design to join their innovative team. This role presents a unique opportunity to work at the intersection of artificial intelligence and hardware design, contributing to groundbreaking research that directly impacts Google's products and services.
The position involves developing and applying cutting-edge AI methods to revolutionize chip design processes. The team has already demonstrated significant success, winning the IWLS 2023 Programming Contest and developing AlphaChip, which has been instrumental in designing several generations of Google's TPUs, including the latest Trillium.
As a Research Engineer, you'll be working with a diverse team of research scientists and software engineers, focusing on solving complex challenges in physical design, logical synthesis, verification, and RTL generation. The role requires a blend of technical expertise in machine learning and an understanding of hardware design principles.
Key opportunities include bringing advanced ML models to chip design, developing industry-changing breakthroughs, and utilizing LLMs and transformer models to accelerate the design process. The position offers competitive compensation ($153,000 - $215,000 + bonus + equity + benefits) and the chance to work with world-class researchers and engineers.
The ideal candidate should have either a Ph.D. in Computer Science or related field, or a B.S./M.S. with 5+ years of relevant experience. Strong background in machine learning, particularly in hardware applications, is essential. Experience with modern ML frameworks like JAX, TensorFlow, or PyTorch is highly valued.
At Google DeepMind, you'll be part of a culture that encourages long-term ambitious research grounded in real problems. The team's mission to "Explore new spaces and bring back the learnings to deliver breakthroughs" offers an exciting opportunity to make significant contributions to both academic research and practical applications in chip design.
Responsibilities For Research Engineer, 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 organise projects towards common goals
- Amplify impact by generalising solutions into reusable libraries
- Share knowledge through publications, open sourcing and education
Requirements For Research Engineer, Chip Design
- Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science with 5+ years of relevant experience
- Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization
- Experience with JAX, TensorFlow, PyTorch or similar
- Self-directed engineer/research scientist who can drive new research ideas
- Strong research experience and publications in Machine Learning, Differentiable Programming, Discrete Optimization, Reinforcement Learning
Benefits For Research Engineer, Chip Design
- bonus
- equity
- benefits
