Autonomy Software Engineer: Calibration & Mapping (Remote)

Cyngn, Inc.

Mountain View (CA)

On-site

USD 162,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Health benefits
401(k) plan
Flexible vacation

Job summary

Cyngn, Inc. in Mountain View, CA seeks a Software Engineer on the CLAM team to enhance calibration, localization and HD map creation for its autonomous vehicle fleets. You will work in a small, focused group on production-quality software powering real deployments.

The role emphasizes ownership of components, collaboration with vehicle infra, hardware, QA, and other autonomy teams, and growth under senior engineers in a startup environment.

Qualifications

  • BS or MS in robotics, CS, electrical engineering or related field.
  • Solid foundation in probability theory, linear algebra, 3D geometry, and spatial transforms.
  • Familiarity with 3D Lidar mapping/localization concepts (LOAM, GICP).
  • Experience with state estimation frameworks (EKF, GTSAM, Ceres).
  • 2–4 years building robotics or autonomous vehicle software.

Responsibilities

  • Implement, tune, and test mapping, localization, and sensor calibration algorithms for autonomous vehicle platforms using C++ and Python.
  • Contribute to tooling and metrics for performance validation and continuous testing frameworks.
  • Debug and analyze algorithm performance with real-world and simulated sensor data.
  • Balance tasks, code reviews, and learning to meet product milestones in a fast-paced startup.

Skills

Robotics fundamentals
C++ programming
Python programming
Communication
Team collaboration

Education

BS or MS in robotics, CS, EE

Tools

ROS2
GTSAM
Ceres-Solver
LOAM
GICP

Job description

Cyngn, Inc. in Mountain View, CA seeks a Software Engineer on the CLAM team to enhance calibration, localization and HD map creation for its autonomous vehicle fleets. You will work in a small, focused group on production-quality software powering real deployments.

The role emphasizes ownership of components, collaboration with vehicle infra, hardware, QA, and other autonomy teams, and growth under senior engineers in a startup environment.

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