M.S. degree in Computer Science or Computer Engineering or equivalent experience
10+ years designing/architecting complex, high-performance architectures (CPUs, GPUs, ML accelerators)
3+ years experience with machine learning architectures and model optimization
Deep knowledge of ML model architectures and compute characteristics
Strong programming and algorithmic problem-solving skills
Responsibilities
Analyze inference workloads and propose HW-friendly implementations
Build scalable tools for performance modeling of inference workloads
Collaborate with compiler and model developers on engineering tradeoffs
Architect and design novel hardware solutions for autonomous driving models
Engage with cross-functional teams to identify architectural opportunities
Benefits
Participation in discretionary annual bonus program
Eligibility for equity incentive plan
Generous company benefits program
Full Job Description
In this role, you will report to a Hardware Engineering Manager.
You will:
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
You 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
Deep knowledge of ML model architectures and their compute characteristics (bottlenecks, optimization opportunities)
Strong programming and algorithmic problem solving skills
We prefer:
Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency for ML inference
Proven ability leading cross-functional teams to deliver your architectural vision
Familiarity with novel semiconductor technologies and their tradeoffs across the full hardware stack
Experience with microarchitecture design (SystemVerilog or HLS)
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$251,000-$310,000 USD
About Waymo
Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
