ML Performance Engineer

Key Skills

Agile methodologies, AI Robotic systems, C++, Infrastructure as code, Machine learning techniques, Optimization, Python Programming, Teamwork

Job Description

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'll:

• Collect application/ML model performance traces and analyze for performance optimization opportunities
• Land the optimizations to the application/ML model code base 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
• Work with the application teams to apply the optimization
• Add proper testing to ensure optimized performance is tracked and not regressed in the future
• Land the optimizations to the infrastructure by
• Prototype the performance optimizations and evaluate its effectiveness on applications/ML models
• Generalize the optimization at the infra level (compiler, firmware, runtime, framework, etc.) and project the potential impact to all applications (ML models) across board
• Motivate the Infrastructure teams to land the optimization to the specific level of the stack, set the performance expectation through solid methodology (e.g. roofline) and ensure the Infrastructure team is aligned about the expectation
• Once the optimization is landed by the Infrastructure teams, close the loop by evaluating the overall performance impact and ensure it’s landed in the expected way

At a minimum we’d like you to have:

• Bachelors in Computer Science or Electrical Engineering
• Proficient in C++ and Python
• Experience with application performance optimization
• Proficiency in collaboration with teams in US

It's preferred if you have:

• ML performance and compiler
• Computer architecture and performance analysis methodologies
• Robotic application development/optimizations

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—$2,760,000 TWD

While at Waymo, you will enjoy benefits that cover…

Health and wellness: Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), on-site physicians and/or nurses in some locations, and special wellness programs.

Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, a generous 401(k) plan or regional retirement plans, 1-on-1 financial coaching, a 529 College Savings Plan and lots of other perks and employee discounts. 

Flexibility and time off: Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site, hybrid work model and offer remote working opportunities, paid time off, Waymo recharge days, bereavement, sick, and parental leave.