Staff ML Accelerator Architect

Waymo LLC; Mountain View (CA); On-site; USD 251,000 - 310,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Company benefits

Job summary

Waymo LLC in Mountain View, CA is seeking a seasoned Hardware Architect to lead development of high-performance compute for the Waymo Driver. You will design architectures, simulate solutions and collaborate with cross-functional teams to deliver scalable ML inference hardware.

The role requires a strong track record in CPUs/GPUs/ML accelerators, ML model optimization, and SystemVerilog/HLS experience, with a commitment to safety and reliability in autonomous driving.

Qualifications

• MS degree in Computer Science or Computer Engineering or equivalent practical experience.
• 10+ years designing high-performance architectures - CPUs, GPUs and/or ML accelerators.
• 3+ years experience with ML 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.

Responsibilities

• Analyze inference workloads and map them 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 autonomous driving models.
• Interact with cross-functional engineering teams to identify opportunities and realize architectural vision.

Skills

High perf architectures

ML acceleration

Strong programming

Model optimization

Education

MS in CS/CE

Tools

SystemVerilog

HLS

Job description

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. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

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 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