About the role
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.
The Multiverse team at Waymo is responsible for the end-to-end evaluation of our autonomous driving software. We don't just look at what happened; we look at what could have happened. Using a mix of real-world testing and counterfactual simulation, we stress-test the Waymo Driver’s safety and reliability before it ever hits the road. Join us in the Driver Understanding and Evaluation (DUE) group to develop the rich metrics that define the future of autonomous mobility.
You will:
- Build the infrastructure to administer a “virtual driver’s test” for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines and/or real world monitoring in order to evaluate the driving capability of the Waymo Driver, and at low latency in the real world.
- Improve the signal quality provided by the “virtual driver’s test” and measured in the real world. Measure and improve the quality of individual simulations as well as that of the overarching simulation workflows. Seek to answer whether the results of the “virtual driver’s test” are predictive of the Waymo Driver’s real-world driving behavior.
- Apply ML models from partner teams, and optionally contribute to them yourself, to improve the efficiency of our “virtual driver’s test”: simulate the most interesting situations and report the most interesting simulation results.
- Apply software engineering best practices in order to improve code health and developer experience in the “virtual driver’s test” and the real world monitoring development ecosystems.
- Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals.
You have:
- 3+ years of full-time software engineering experience, or a quantitative PhD with software engineering experience
- C++ proficiency
- Python familiarity
- SQL familiarity
- Strong verbal and written communication skills
- Excited about autonomous driving, Sim+Eval, eager to learn
We prefer:
- Industry or doctoral experience in a quantitative- or quality- focused engineering role in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system.
- B.Sc. in Computer Science
- Experience working with large FAANG scale distributed systems.
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.
Aplyr's read
Waymo is a leader in autonomous vehicle technology, attracting talent passionate about transforming transportation with innovative self-driving solutions.
What's promising
- •Waymo benefits from Alphabet's resources, providing robust support for research and development.
- •The company is pioneering in autonomous vehicle technology, setting industry standards.
- •Waymo's diverse hiring across roles indicates a comprehensive approach to scaling operations.
What to watch
- •Regulatory hurdles could delay widespread adoption of self-driving technology.
- •High competition in the autonomous vehicle market may impact Waymo's market share.
- •Operational challenges in scaling ride-hailing services could affect growth.
Why Waymo
- •Waymo's extensive real-world testing gives it a competitive edge in data-driven development.
- •The company's collaboration with Alphabet enhances its technological capabilities.
- •Waymo's focus on safety and reliability differentiates it in the autonomous vehicle sector.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Waymo
Waymo is a self-driving technology company that aims to make it safe and easy for people and things to get where they’re going. As a subsidiary of Alphabet Inc., Waymo is at the forefront of autonomous vehicle technology, significantly impacting the future of transportation.
