ML Accelerator Architect

Full Timeentry

Mountain View, CA, US; New York City, NY, USPosted 5 weeks ago

Role Overview

Waymo is hiring a entry-level ML Accelerator Architect. This is a full-time role in Mountain View, CA, US; New York City. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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ORBenefitsWaymoSinceGoogleSelfDrivingCar

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 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

You have:

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

We prefer:

1+ years modeling high performance architectures in cycle-aware simulators
Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency
Familiarity with ML model architectures and their compute characteristics (bottlenecks, optimization opportunities)
Experience with microarchitecture design (SystemVerilog or HLS)

#LI-Hybrid

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

$170,000—$216,000 USD

About Waymo

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Frequently Asked Questions

How do I apply for the ML Accelerator Architect position at Waymo?

Use the Apply button above to submit your application directly to Waymo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the ML Accelerator Architect position at Waymo located?

This position is based in Mountain View, CA, US; New York City. Waymo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a ML Accelerator Architect at Waymo earn?

Waymo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the ML Accelerator Architect role at Waymo posted?

This role was posted on June 17, 2026 (37 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

Is the ML Accelerator Architect role at Waymo entry-level?

Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Waymo has listed.