Behavior Planning Software Engineer

Aurora; San Francisco (CA); On-site; USD 126,000 - 201,000; Full time

Benefits offered by this job

Equity compensation

Annual bonus

Health benefits

Job summary

I did my part and supported the Regular Toilet is seeking a Software Engineer for the Behavior Planning Team to develop real-time algorithms and integrate machine learning with motion planning for autonomous vehicles. Candidates should have a BS, MS, or Ph.D. in Robotics, Computer Science, or related fields, and strong skills in Python and C++.

The role offers a hybrid work environment, eligible for attractive compensation including bonuses and equity. Join us in shaping the future of self-driving technology!

Qualifications

• Strong programming skills in Python and/or C++ in low latency environments.
• Experience in designing, building, and productionizing motion planning algorithms.
• Expertise in GPU or ML toolkits.

Responsibilities

• Develop real-time algorithms for self-driving vehicle trajectories.
• Integrate motion planning with machine learning for AI systems.
• Implement production-grade software for the Aurora Driver.

Skills

Programming skills in Python

Software design skills

Motion planning algorithms

Machine learning applications

Education

BS, MS, or Ph.D. in a relevant field

Tools

PyTorch

CUDA

TensorFlow

Job description

Software Engineer – Behavior Planning Team

We are looking for a software engineer to support and scale efforts for our Behavior Planning Team.

Responsibilities

• Develop real-time algorithms for selecting safe and comfortable trajectories for a self-driving vehicle
• Integrate motion planning with machine learning to create verifiable AI systems for autonomous driving
• Design and implement production‑grade software for the Aurora Driver
• Design metric suites and testing workflows for rapid iteration on algorithms

Required Qualifications

• BS, MS, or Ph.D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field
• 4+ years of strong programming and software design skills in Python and/or C++, especially in low latency or real‑time environments
• Experience in designing, building, and productionizing motion planning algorithms (cost function design, optimization, or sampling-based techniques)

Desirable Qualifications

• Expertise with GPU or ML toolkits such as PyTorch, CUDA, TensorFlow, JAX, and/or TensorRT
• Expertise in machine learning for robotic/agentic applications (reinforcement learning or imitation learning)

Compensation & Benefits
Base salary range: $126,000–$201,000 per year. Successful candidates will also be eligible for an annual bonus, equity compensation, and benefits.

Work Setting
Hybrid work environment: Aurorans work at the office at least 3 days per week.

Aurora considers candidates without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran or military status, or any other protected category in accordance with federal and state law.