- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Jan 5, 2026
- Salary
- $170,000–$216,000 a year
Senior ML Accelerator Architect
Job description
In this role, you will report to a Hardware Engineering Manager.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.
Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully…
Job responsibilities
- Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance
- Architect, simulate and design amazing machine learning solutions for our autonomous driving technology
- Work closely with compiler and model developers to influence engineering trade-offs and future model architectures
- Build scalable tools for simulator modeling and performance evaluation
- Interact with cross-functional engineering teams to identify opportunities and requirements
Job requirements
- BS degree in Computer Science or Computer Engineering or similar relevant technical field, or equivalent practical experience
- 3+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research
- 1+ years experience with machine learning architectures, acceleration and model optimization
- Strong C++ programming and algorithmic problem solving skills
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