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Software Engineer (Autonomy, Calibration, Mapping & Localization)

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Onsite

Software Engineer (Autonomy, Calibration, Mapping & Localization)

Cyngn

Software Engineer (Autonomy, Calibration, Mapping & Localization)

Skills

PythonGit

2 months ago

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Important information


Contract type:

Permanent

Location:

Mountain View, CA, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


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

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