Software Engineer, Backend

Want to build the next generation of infrastructure for driverless cars?

Join our Waymo Commercialization team, and help us design the future of transportation! We are looking for a passionate Senior SWE who wants to help build the systems that improve Waymo's core ride hailing and fleet management systems.

You are someone who and product-minded. You will work on cross-cutting problems to require cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure.

In this hybrid role, you will report to an Staff Software Engineer.

You will:

• Infrastructure & Pipeline Engineering: Design and operate high-performance, low-latency data pipelines for both massive-scale simulation and real-world monitoring.
• Evaluation Fidelity: Improve the signal quality of driving tests by ensuring simulation results are highly predictive of real-world behavior and implementing metrics to measure simulation accuracy.
• ML Integration: Deploy and potentially contribute to ML models that identify "interesting" driving scenarios, optimizing the efficiency of testing through robust integrations with large-scale models.
• Software Excellence: Champion code health and developer experience by applying best practices to the simulation and monitoring ecosystems.
• Cross-Functional Collaboration: Partner with Data Scientists and Systems Engineers to translate complex vehicle telemetry into actionable insights regarding the Waymo Driver’s internal logic.

You have:

• 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience
• C++ (or another OOP language) proficiency
• Python familiarity
• SQL familiarity
• Excited about autonomous driving, Simulation + Eval

We prefer:

• 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team 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., M.Sc. or PhD in Computer Science
• Experience working with large FAANG scale distributed systems.