Related skills
python pytorch machine learning real-time cudaπ Description
- Develop real-time algorithms for safe, comfortable self-driving trajectories
- Integrate motion planning with ML to create verifiable AI for autonomous driving
- Design and implement production-grade software for the Aurora Driver
- Design metric suites and testing workflows for rapid algorithm iteration
π― Requirements
- BS/MS/PhD in Robotics, ML, Applied Mathematics, CS or related field
- 4+ years in Python and/or C++, esp. in low-latency/real-time environments
- Experience designing, building, and productionizing motion planning algorithms (cost design, optimization, or sampling)
π Benefits
- Hybrid work environment with in-office 3 days per week
- Culture focused on safety, integrity, and collaboration
- Growth opportunities and solving complex robotics problems
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