Software Engineer, Autonomy - Calibration, Mapping & Localization in Mountain View, California at Cyngn, Inc.

About Cyngn, Inc.

Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles -specifically autonomous tuggers - to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:

We are small and big.

With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.

We build today and deploy tomorrow.

Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

We aren’t robots. We just develop them.

We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.

About the role

• As a Software Engineer on our Calibration, Localization & Mapping (CLAM) team, you will help deliver improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team building 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.
• Working closely with senior engineers who will support your growth, you will take ownership of well-scoped components while collaborating cross-functionally with vehicle infrastructure, hardware, QA, and other autonomy teams (Perception, Decision, Planning, and Control) to achieve seamless integration, comprehensive testing, and ultimately safe and efficient driving for the next generation of Cyngn’s autonomous vehicles.
• This role is a strong fit for an early-career engineer who has solid robotics fundamentals and is eager to deepen their expertise in mapping and localization on real production hardware.

What you'll do

• Implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python, with guidance and code review from senior team members.
• Contribute to tooling and metrics for performance validation and continuous testing frameworks.
• Debug and analyze algorithm performance using real-world and simulated sensor data, and iterate based on results from vehicle testing.
• Balance assigned project tasks, code reviews, and learning to meet product-driven milestones in a fast-paced startup environment.

Qualifications

• BS or MS in robotics, computer science, electrical engineering, or a similar technical field (MS a plus).
• Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.
• Working knowledge of matrix factorization algorithms and Lie algebra/groups, or a strong willingness to learn.
• Familiarity with 3D Lidar-based mapping and localization concepts for autonomous vehicles (e.g., LOAM series, GICP, FastLIO, bundle-adjustment).
• Exposure to state estimation frameworks such as EKFs and/or nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, etc.).
• 2–4 years of experience (including internships, research, or academic projects) building robotics or autonomous vehicle software.
• Proficiency writing C++ in a collaborative software environment—familiarity with unit testing, code review, and version control.
• Proficiency in Python.
• Excellent written & verbal communication skills, and eagerness to learn from and collaborate with a senior team.

• Academic publications, patents, or notable open-source contributions.
• Experience with GPU programming, CUDA.
• Hands-on experience tuning or deploying algorithms on physical robots or vehicles.
• Experience with multi-sensor calibration or sensor mis-alignment detection.
• 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) 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

• 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.

Equal Opportunity Employer

Cyngn is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, genetic information, marital status, familial status, military or veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all aspects of employment, including recruitment, hiring, compensation, benefits, training, promotion, discipline, and termination.

If you require accommodation during the application or interview process due to a disability, please let us know and we will work with you to provide reasonable accommodation

A Note on Recruitment Scams

We've seen an increase in fraudulent job offers and phishing attempts impersonating real companies, including Cyngn.

To protect yourself:

• All official communication from Cyngn recruiters and hiring managers will come from an email address ending in @cyngn.com. We will never contact you from a personal email (Gmail, Yahoo, etc.) or via unsolicited text message or messaging app.
• Cyngn will never ask you to pay for equipment, training, background checks, or any other fees as part of the application or hiring process.
• We will never ask for sensitive personal or financial information (e.g., bank account or Social Security number) before you've been extended and have accepted a formal offer through official channels.
• If you receive a suspicious message claiming to be from Cyngn, please do not respond with personal information, and feel free to verify by reaching out to us directly through our official careers page.