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Aurora Innovation

Licenses autonomous driving technology for vehicles

Behavior Planning Software Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

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

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.

Desired Qualifications

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

About the Company

Aurora Innovation

Licenses autonomous driving technology for vehicles

Aurora Innovation develops and licenses self-driving technology for vehicles. Its main product, the Aurora Driver, is embedded into partner vehicles to move people and goods autonomously, serving logistics, ridesharing, and fleet-management needs. How it works: The Aurora Driver combines a sensor suite—notably FirstLight Lidar—with software for perception, planning, and control. The system is tested extensively with a Virtual Testing Suite to ensure reliability before deployment. Revenue comes from licensing the Driver as a service to partners, along with ongoing support and updates. How it differs from competitors: Aurora emphasizes its high-performance FirstLight Lidar, a strong safety culture, and a collaborative business model that partners with vehicle makers, logistics firms, and network operators to accelerate commercialization of autonomous driving. Goal: To make transportation safer and more efficient by expanding access to autonomous mobility and logistics solutions.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Pittsburgh, PA
Founded
2017

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