Related skills
bazel gaussian_mixture_models📋 Description
- Lead R&D of motion planning algorithms for autonomous driving, with probabilistic methods.
- Architect and integrate motion planning and prediction algorithms for real-world deployment.
- Build robust, scalable code for rapid exploration and evaluation of planning algorithms.
- Collaborate across perception, prediction, and control to ensure end-to-end performance.
- Share software best practices to foster technical excellence.
- Mentor junior team members to foster product-focused engineering.
🎯 Requirements
- PhD or Master’s in Robotics, CS, CE, ME, or related field; or equivalent.
- 3+ years C++ software development with emphasis on algorithms.
- Experience owning and leading features from concept to production deployment.
- Strong drive for knowledge and innovation in autonomous driving.
- Experience with probabilistic models: Gaussian mixture models, Hidden Markov Models, Particle Filters.
- Experience with Bazel build framework.
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