Software Engineer, Cyngn
Autonomy, Calibration, Mapping & Localization
Office located in Mountain View, CA
Industrial autonomous vehicle technology
Be an early applicant
Industrial autonomous vehicle technology
21-100 employees
Be an early applicant
Office located in Mountain View, CA
21-100 employees
Company mission
To address significant challenges facing industrial organizations today, such as labor shortages and costly safety incidents.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
From the switch from manual driving to automatic in the 40s, and now the rise of autonomous vehicles (AVs) in the past 5-10 years, cars have come a long way. While much of the attention has focused on consumer-facing self-driving cars, it's often overlooked how many industrial vehicles are now capable of operating, at least in part, without direct driver control.
Cyngn is a well-established company providing autonomous vehicles solutions for these environments. Its DriveMod product is designed to integrate with existing workflows, allowing businesses to introduce automation without major infrastructure changes. Rather than focusing purely on capability, the company emphasizes practical deployment, aiming to deliver systems that can reliably handle real-world industrial tasks.
Cyngn has raised significant funding since its founding in 2009, reflecting both the strength of its technology and continued investor confidence. Alongside partnerships with companies like US Continental and Jtec Industries, the business is still actively securing new capital, with a recent $8.65M raise aimed at supporting further development and scaling its autonomous solutions,. With DriveMod already deployed across vehicles like tuggers and forklifts, Cyngn is positioning itself to capitalize on growing demand from industrial and logistics operators looking to address labor shortages and improve safety through automation.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
22% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2015
$85m
SERIES C
Dec 2013
$23m
SERIES B
Total funding: $115m
Company HQ
Mountain View, CA
Leadership
Lior Tal
(CEO)Lior joined Cyngn in 2016 as COO, moving into the role of CEO that same year. Previously, he spent over 5 years at Facebook as a Director of Growth & Partnerships. He also founded Snaptu where he served as the company's VP of Business Development for nearly 4 years.
Natalie Russell
(CFO)Natalie joined Cyngn in 2023 as the Director of Accounting, she then became the Interim CFO in January 2025 and became CFO later that same year. Previously, she was a Technical Accounting Manager at SOAProjects. She also spent over 5 years at EY in various Audit roles.
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