In this role, you will- 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)
The base salary range for this position is $126,000 - $201,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
#LI-JL261
#Mid-Senior
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
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Our commitment to safetyAt the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what.