Software Engineer, Autonomy - Calibration, Mapping & Localization

Job description

Job responsibilities

• 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.
• 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…
• 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.
• 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.

Job requirements

• 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.