Job Description
📋 Description Implement, tune, and test mapping, localization, and sensor calibration algorithms for autonomous Contribute to tooling and metrics for performance validation and continuous testing frameworks. Debug and analyze algorithm performance with real-world and simulated sensor data; iterate from Balance tasks, code reviews, and learning to meet milestones in a fast-paced startup environment. 🎯 Requirements BS or MS in robotics, CS, EE, or related field (MS a plus). Strong foundation in probability, linear algebra, 3D geometry, coordinate transforms. Familiarity with matrix factorization and Lie groups, or willingness to learn. Familiarity with 3D LiDAR mapping/localization concepts (LOAM, GICP, FastLIO, bundle-adjustment). Exposure to EKFs or nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver). 2–4 years building robotics or autonomous vehicle software (including internships/projects). 🎁 Benefits Health benefits (Medical, Dental, Vision, HSA/FSA, EAP, 1:1 Health Concierge) Life, disability insurance; Cyngn funds premiums Company 401(k) Commuter Benefits Flexible vacation policy Sabbatical after 5 years
