Senior Software Engineer, ML Evaluation Infra and Efficiency
Waymo · Mountain View, California, United States · Mountain View (US-MTV-EMF680)
CHECKED 7H AGO
RoboticsonsiteSenior$238k–$302k
At a glance
Highlights
- Build distributed evaluation platforms scaling across compute, data and environments.
- Help improve pre-trained models powering the Waymo Driver ride-hail service.
- Partner with Research teams to advance Perception and Planning models.
What they offer
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
Ideal candidate
An ML systems engineer energized by large-scale evaluation and efficiency challenges. You enjoy partnering with researchers to improve real-world autonomous driving and care about performance, reliability, and developer experience.
Requirements
- B.S. in Computer Science, Math, or 3+ years equivalent experience
- Proficient in distributed systems design with ML efficiency understanding
- Experience with ML frameworks including TensorFlow, JAX, XLA
- Solid programming skills in Python and C++
- Practical familiarity with profiling tools for performance bottlenecks
- MS in Computer Science, Math (preferred)
- Familiarity with large-scale evaluation platforms for LLMs (preferred)
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project