Senior Software Engineer, Autonomy - Calibration, Mapping & Localization

Senior Software Engineer, Autonomy – Calibration, Mapping & Localization

Cyngn, Inc., based in Mountain View, CA, is a publicly‑traded autonomous technology company that deploys self‑driving industrial vehicles—specifically autonomous tuggers—to factories, warehouses, and other facilities across North America.

We are a small, dynamic team of under 100 employees with the agility of a startup and the support of a publicly traded company. Our autonomous vehicles are already deployed to real clients, so your work will have a tangible and visible impact.

• As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you’ll deliver mission‑critical improvements and new features to our calibration, localization, and mapping subsystems. You’ll work on a small, highly focused team developing production‑quality software that enables efficient and accurate creation of HD maps at Cyngn deployment sites and robust localization for Cyngn’s autonomous vehicle fleets.
• You’ll collaborate cross‑functionally with vehicle infrastructure, hardware, QA, and other autonomy teams (Perception, Decision, Planning, and Control) to achieve seamless integration with interfacing submodules, comprehensive testing, and ultimately safe and efficient driving for the next generation of Cyngn’s autonomous vehicles.

• 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.

• MS/PhD with a focus in robotics or a related technical field.
• 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 (e.g., LOAM series, GICP, FastLIO, bundle‑adjustment).
• Familiarity with state‑estimation frameworks such as EKFs and modern nonlinear optimization libraries (e.g., GTSAM, G2O, Ceres‑Solver, GNC‑Solver).
• At least 6 years of industry experience as an autonomous vehicle or robotics software engineer, including hands‑on implementation and tuning on production hardware.
• At least 6 years of industry experience writing production C++ software—architecture design, unit testing, code review, algorithm performance trade‑offs, etc.
• Proficiency in Python.

• Proven record of top‑tier publications or patents.
• Experience with GPU programming and CUDA.
• Experience implementing automated map change detection and updating techniques.
• Experience implementing modern multi‑sensor calibration and sensor mis‑alignment detection algorithms.
• Experience with camera‑based SLAM and 3D multi‑view geometry.
• Experience working with ROS2 to design, build, and operate robotic systems.
• Exposure to modern software development version control and project management tools—Git, Jira, etc.
• Health benefits (Medical, Dental, Vision, HSA, FSA).
• Life, Short‑term, and long‑term disability insurance (Cyngn funds 100 % of premiums).
• Company 401(k) plan.
• Flexible vacation policy.
• Remote or hybrid work opportunities.
• Sabbatical leave opportunity after 5 years with the company.
• Daily lunches for in‑office employees and fully‑stocked kitchen with snacks and beverages.
• Monthly meal and tech allowances for remote employees.

$180,000 – $198,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.