Staff ML Accelerator Architect

Highlights

• Architect custom silicon for Waymo Driver autonomous vehicle compute platform.
• Design hardware for models powering 10M+ rider-only autonomous trips.
• Build performance modeling tools for autonomous driving inference workloads.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

Curious hardware architect with deep ML intuition who loves mapping complex inference workloads to efficient silicon and leading cross-functional efforts to shape future autonomous driving compute.

Requirements

• M.S. in Computer Science or Computer Engineering or equivalent practical experience
• 10+ years designing/architecting complex high-performance CPUs, GPUs and/or ML accelerators
• 3+ years experience with machine learning architectures, acceleration and model optimization
• Deep knowledge of ML model architectures and compute characteristics
• Strong programming and algorithmic problem solving skills
• Track record analyzing workloads and delivering novel HW+SW solutions for ML inference
• Proven ability leading cross-functional teams to deliver architectural vision
• Familiarity with novel semiconductor technologies and hardware stack tradeoffs
• Experience with microarchitecture design in SystemVerilog or HLS