Cyngn is looking to solve the problem of deploying self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America.
Requirements
- MS/Phd with focus in robotics or a similar technical field of study
- Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.
- In-depth understanding of matrix factorization algorithms and Lie algebra/groups.
- Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)
- Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.)
Responsibilities
- Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.
- Develop tooling and metrics for performance validation and continuous testing frameworks.
- Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.
Other
- Excellent written & verbal communication skills.
- 6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.
- 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.
