Senior Deep RL Engineer for Real-Time Autonomous Driving

DoorDash; California (MO); On-site; USD 168,000 - 247,000; Full time

Benefits offered by this job

401(k) matching

Parental leave (16 weeks)

Wellness benefits

Commuter benefits

Paid time off

Medical/Dental/Vision

Disability insurance

Life insurance

Mental health program

Job summary

DoorDash’s DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, and improve continuously from large-scale fleet data.

Our models jointly handle prediction and planning in a single unified architecture. As a Senior/Staff Deep RL Engineer, you will design, train, and deploy deep reinforcement learning

Qualifications

• Strong foundation in reinforcement learning and deep learning.
• Experience training RL agents at scale in robotics or autonomous driving.
• Familiarity with JAX and GPU-accelerated simulation.
• Ability to design problems, reward functions, and evaluation metrics.
• Experience building end-to-end RL pipelines and deployment.

Responsibilities

• Design, train, and deploy deep RL policies for real-time driving decisions.
• Own full lifecycle from problem formulation to on-vehicle inference.
• Build and maintain distributed training infrastructure in JAX.
• Develop experiment pipelines and analyze metrics to guide decisions.

Skills

Reinforcement learning

Deep learning

JAX proficiency

RL at scale / robotics experience

Data-driven experimentation

Distributed training experience

Education

BS/MS/PhD in CS/EE/Robotics

Tools

JAX

GPU-accelerated simulation

Job description

DoorDash’s DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, and improve continuously from large-scale fleet data.

Our models jointly handle prediction and planning in a single unified architecture. As a Senior/Staff Deep RL Engineer, you will design, train, and deploy deep reinforcement learning