Senior Software Engineer, Cyngn
Autonomy, Calibration, Mapping & Localization
$190-220k
+ Stock Options
Industrial autonomous vehicle technology
Job no longer available
Industrial autonomous vehicle technology
21-100 employees
Job no longer available
$190-220k
+ Stock Options
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
- 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
Desirable
- 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
What the job involves
- 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
- 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
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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