Senior Software Engineer, Vehicle Interaction & ML Policies

Waymo LLC; Mountain View (CA); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Benefits program

Job summary

Waymo LLC in Mountain View, CA, is seeking a software engineer to design, evaluate, and deploy learned interaction policies for complex navigation and yielding scenarios in autonomous driving. You will collaborate across prediction and planning teams, leveraging large-scale models to solve agent interaction problems and accelerate safe, data-driven decisions.

The role emphasizes integrating models into closed-loop simulation environments and delivering production-ready solutions with pragmatic

Qualifications

• BS in Computer Science, Machine Learning, Robotics, or equivalent practical experience.
• 5+ years of software engineering experience developing high-performance, efficient C++ code.
• Hands-on experience building ML models, including learned driving policies (RL/imitation learning), PyTorch or JAX, closed-loop simulation evaluation, and a proven track record of shipping models to production.
• Proven capability to collaborate effectively across cross-functional engineering teams.

Responsibilities

• Design, evaluate, and deploy learned interaction policies to handle complex navigation and yielding scenarios.
• Collaborate cross-functionally at the intersection of prediction and planning, leveraging large-scale models to solve complex agent interaction problems.
• Integrate learned models into closed-loop simulation environments, benchmark against rigorous safety metrics, and drive seamless transitions to production releases.
• Focus on high-impact product outcomes, making pragmatic engineering decisions to accelerate the shift from rule-based heuristics to scalable, data-driven policies.

Skills

C++

ML model development

Reinforcement learning

PyTorch / JAX

Education

Bachelor's degree in CS/ML/Robotics

MS/PhD in CS/ML/Robotics

Job description

Waymo LLC in Mountain View, CA, is seeking a software engineer to design, evaluate, and deploy learned interaction policies for complex navigation and yielding scenarios in autonomous driving. You will collaborate across prediction and planning teams, leveraging large-scale models to solve agent interaction problems and accelerate safe, data-driven decisions.

The role emphasizes integrating models into closed-loop simulation environments and delivering production-ready solutions with pragmatic