Job brief: Staff ML Accelerator Architect

What JoRoute checked · Checked by JoRoute

• Listed on Waymo's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (4 days ago); last confirmed on the board 2026-11-08.
• The apply link opens careers.withwaymo.com, the address Waymo's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $251,000 to $310,000 a year
• Job type: Not stated
• Where: Mountain View, CA, USA; New York, New York, USA · Mountain View (US-MTV-EMF690) · New York City (US-NYC-CHEL)
• Posted: 2026-10-19

What the job asks · Employer's own words, not checked

Level: Lead / staff. The title says "Staff".

Must have

• M.S. degree in Computer Science or Computer Engineering or equivalent practical experience
• 10+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research
• 3+ years experience with machine learning architectures, acceleration and model optimization

Main duties

• Analyze inference workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance
• Build scalable tools for performance modeling and evaluation of inference workloads
• Work closely with compiler and model developers to influence engineering tradeoffs and future model architectures
• Architect, simulate and design novel hardware solutions for state-of-the-art autonomous driving models
• Interact with cross-functional engineering teams to identify opportunities and realize architectural vision

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Across Waymo's 317 open listings, 50% of those with a posting date were first posted more than 60 days ago. How Waymo hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

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