- 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) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers to choose from
- Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
- Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
- Short-term and long-term disability insurance plans, fully paid by Cyngn
- HSA and FSA (Health & Dependent Daycare)
- Employee Assistance Program
- 1:1 Health Concierge
- Company 401(k)
- Commuter Benefits
- Flexible PTO policy
- 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
What You Can Expect (Cyngn's interview process) - A real person will review your application
- We'll kick off the process with a one-sided video interview where you'll share a little more about yourself and we'll get some basic questions out of the way
- A Recruiter touch point will go over the process in more detail and answer your questions
- A 45-minute interview with the hiring manager
- A full-loop interview process consisting of 3-4 additional conversations to gauge technical and soft skills and culture fit.
- A final onsite interview with the team.
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.
The pay range for this role is:
180,000 - 200,000 USD per year (HQ - Terra Bella)
