Senior Software Engineer, Eval Efficiency & Optimization
Waymo · Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA · Mountain View (US-MTV-EMF680) · New York City (US-NYC-CHEL) · San Francisco (US-SFO-MKT555)
CHECKED 7H AGO
Roboticsonsitesenior$213k–$263k
At a glance
Highlights
- Improve evaluation pipelines to deliver stronger signals with fewer resources.
- Solve ill-defined problems at the intersection of statistics, ML, and systems.
- Help advance the Waymo Driver with 10M+ rider-only trips and 100M+ miles.
What they offer
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
Ideal candidate
A self-motivated quantitative thinker comfortable with ambiguity who loves turning complex systems into rigorous models and building scalable evaluation products with cross-functional partners.
Requirements
- BS in Math, Physics, or another quantitative field
- Fluency in implementing statistical, ML, and general mathematical algorithms for large datasets
- Experience adapting techniques in research papers to applied problems
- Strong self-motivation and comfort with ambiguity to navigate complex systems
- 3-5 years navigating and modifying a large code base in C++, Python, and SQL
- Experience performing statistical analyses and building data processing pipelines
- Experience writing, reviewing, and merging code following industry standards
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