Behavior Planning Software Engineer

Aurora · Remote · $139k–$223k

The role

This role involves developing real-time algorithms for safe and comfortable trajectory selection, integrating motion planning with machine learning, and building production-grade software for the Aurora Driver. The position requires strong programming skills and experience in motion planning, with a hybrid work environment.

Pay: $139k–$223k
Location: Remote
Work mode: Hybrid
Level: Mid
Experience: 4+ yrs
Education: Bachelors

What we know that the posting doesn’t say

Seen 1 day agostill listed on the employer’s careers page
Posted 35 days agothe first time we saw it

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About Aurora

Aurora is a self-driving technology company focused on delivering the benefits of autonomous driving safely and broadly, aiming to improve mobility and logistics.

What you would do

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

Must have

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

Nice to have

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)

What you get

Annual bonus
Equity compensation
Benefits package

Experience and education

4+ years of relevant experience
Bachelors degree or equivalent experience

Key skills

python
c++
motion planning
cost function design
optimization
sampling-based techniques
pytorch
cuda
tensorflow
jax
tensorrt
reinforcement learning
imitation learning

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver https://aurora.tech will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, y…

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