Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ 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 hybrid role, you will report to a Software Engineering Manager.
You will:
- Collect application/ML model performance traces and analyze for performance optimization opportunities
- Land the optimizations to the application/ML model codebase by evaluating the correctness of the change (including retraining the ML model to evaluate accuracy)
- Ensure the change is net-positive for the current onboard performance
- Add proper testing to ensure optimized performance is tracked and not regressed in the future
- Generalize the optimization at the infra level (compiler, firmware, runtime, framework) and project the potential impact to all applications (ML models) across board
- Set the performance expectation through solid methodology, ensure the Infrastructure team is aligned, and evaluate the performance impact
You have:
- Bachelors in Computer Science or Electrical Engineering
- Proficient in C++ and Python
- 3+ years of experience with application performance optimization
- Proficiency in collaboration with teams in US
We prefer:
- ML performance and compiler
- Computer architecture and performance analysis methodologies
- Robotic application development/optimizations
#LI-Hybrid
The expected base salary range for this full-time position 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. 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
$2,600,000—$3,120,000 TWD
Top Skills
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
