Senior Software Engineer, Autonomy - Calibration, Mapping & Localization
All the best with your application!
Want more jobs like this straight to your inbox?
Get Job Alerts
Get a curated list of the top robotics roles delivered straight to your inbox each week. We sift through hundreds of postings to find the high-salary positions, leading companies, and remote opportunities you actually want.
Unsubscribe anytime. We respect your privacy.
Summary
Mountain View (Hybrid)
$180k-198k/year
Full-time
6+ years
About this Job
About the role
- As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will 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 will 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.
What you'll do
- 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.
Qualifications
- 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.).
- 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.
- Proficiency in Python.
- Excellent written & verbal communication skills.
Bonus Qualifications
- Proven record of top-tier publications or patents.
- Experience with GPU programming, CUDA.
- Experience in 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.
Benefits & Perks
- Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
- Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
- Company 401(k)
- Commuter Benefits
- Flexible vacation policy
- Remote or hybrid work opportunities
- Sabbatical leave opportunity after 5 years with the company
- Paid Parental Leave
- 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 based on available information. 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.
About the Company
