Senior Software Engineer Autonomous Driving Simulation

Waymo; New York (NY); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity

Benefits

Job summary

Waymo is seeking a Software Engineer to help build infrastructure for a virtual driver’s test and to design, implement, and operate scalable simulation data pipelines that evaluate the Waymo Driver’s driving capability.

In this hybrid role reporting to a Software Engineering Manager, you will apply ML models to improve tests and contribute to production-quality systems, blending research with practical deployment to advance autonomous mobility.

Qualifications

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

Responsibilities

• Build the infrastructure to administer a "virtual driver’s test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver.
• Improve the signal quality provided by the "virtual driver’s test". Enhance the quality of individual simulations and the overarching simulation workflows to determine if the test results predict 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.

Skills

C++

Python

SQL

Autonomous driving

Education

B.Sc. in Computer Science

Job description

Waymo is seeking a Software Engineer to help build infrastructure for a virtual driver’s test and to design, implement, and operate scalable simulation data pipelines that evaluate the Waymo Driver’s driving capability.

In this hybrid role reporting to a Software Engineering Manager, you will apply ML models to improve tests and contribute to production-quality systems, blending research with practical deployment to advance autonomous mobility.