ML Microarchitect (Hardware)

TL;DR

ML Microarchitect (Hardware): Designing and specifying high-performance microarchitectures for custom silicon to power autonomous vehicle compute platforms with an accent on ML performance, power, and latency optimization. Focus on building high-performance execution units, arithmetic circuits, and programmable engines to ensure maximum performance for the Waymo Driver.

Location: Must be based in Mountain View, California (Hybrid/Onsite)

Salary: $175,000–$215,000 USD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

• Translate high-level requirements from researchers and architects into hardware features.
• Specify and design microarchitectures to deliver world-class ML performance.
• Perform power, area, and performance exploration and optimization of digital designs.
• Design high-performance execution units, arithmetic circuits, and programmable engines.
• Collaborate with verification teams to guarantee functional correctness and performance.

Requirements

• BS degree in Computer Engineering or equivalent practical experience.
• 5+ years of industry experience with SystemVerilog, RTL design, and microarchitecture.
• 3+ years designing and specifying microarchitectures of high-performance computing cores (CPU/GPU/NPU).
• Fluency in at least one high-level programming language such as Python or C++.
• Must be able to work on-site/hybrid in Mountain View, California.

Nice to have

• Experience designing datapath elements of high-performance cores.
• Experience working with Chisel (Scala) or other higher-level hardware DSLs.
• Working knowledge of machine learning algorithms and their hardware mapping.
• Familiarity with synthesis and power analysis tools.
• Experience with formal tools for datapath verification.

Culture & Benefits

• Participation in discretionary annual bonus program and equity incentive plan.
• Comprehensive company benefits program.
• Opportunity to work on one of the world’s highest-performance automotive compute platforms.
• Multidisciplinary team environment focused on cutting-edge autonomous technology.