ASIC RTL Design Engineer, Machine Learning Accelerators

$127,000 - $187,000/Yr

Google - Sunnyvale, TX

Full-time - Mid Level

Sunnyvale, TX

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About the position

This position involves working as part of a diverse team to develop custom silicon solutions that enhance Google's direct-to-consumer products. The role focuses on the design and implementation of Application-Specific Integrated Circuits (ASICs) aimed at accelerating machine learning computations in Google's data centers. The successful candidate will contribute to the microarchitecture, design, documentation, and implementation of next-generation machine learning center accelerators, playing a crucial role in shaping hardware experiences that deliver exceptional performance and efficiency.

Responsibilities

• Define micro-architecture specifications and take ownership of one or more modules and implement Register-Transfer Level (RTL).
• Create simple test benches and debug complex logic simulation.
• Converge functionality and Power, Performance and Area (PPA) of the design.
• Work closely with software teams to ensure solutions.
• Contribute to design methodology, libraries and code review.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 2 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.
• Experience in logic design, functional, and Power, Performance and Area (PPA) closure.

Nice-to-haves

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 7 years of experience in ASIC design and in one or more successful ASIC products from concept to silicon.
• Experience applying engineering best practices (eg, code review, testing, refactoring).
• Experience applying computer architecture principles to solve open-ended problems.
• Knowledge of computer networks and machine learning.
• Understanding of computer architecture/memory subsystem architecture.

Benefits

• Bonus
• Equity
• Health insurance
• Retirement savings plan (401k)
• Paid time off (PTO)