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Localization Systems Engineer

Other Full-time Permanent Remote

Job details

Not specified Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

A systems engineering role embedded with the localization team that develops software for sensor fusion, calibration, and mapping of autonomous ground vehicles. The position combines source-code fluency in C++ with ownership of requirements, simulation, and Hardware-in-the-Loop (HIL) testing for safety-critical localization functionality, including operation in GPS-denied environments.

Responsibilities

- Engage directly with the localization codebase in C++, understanding designs at the source-code level and supporting peer review. - Own the algorithm and test requirements capture process, including requirements reviews with autonomy, systems, and safety teams. - Design, write, and own simulation and track test scenarios that validate localization systems, including critical safety functions. - Author and own Hardware-in-the-Loop (HIL) test setups for the localization team. - Champion strong unit test coverage across the localization codebase and conduct data analysis, often using Python. - Coordinate with neighboring teams such as safety engineering to tune localization and safety algorithm configuration settings. - Contribute to and receive code and requirements reviews, demonstrating attention to detail and comprehension of complex systems.

Requirements

- MSc in Mechanical Engineering, Electrical Engineering, Computer Science, or a related systems engineering field, with relevant demonstrable experience. - Hands-on, flexible approach with willingness to engage in detail and adapt based on feedback. - Experience with requirements management tools such as Jama and structuring test coverage across unit, simulation, track, and HIL levels. - Familiarity with safety qualification standards related to localization accuracy.

Nice to have

- Strong background in localization algorithms and estimation theory, including Kalman filtering and/or pose graph optimization. - Familiarity with LIDAR- and computer-vision-based localization, mapping, and calibration; radar experience a plus. - C++ proficiency sufficient to navigate and reason about the team's source code.

Skills detected in the listing

PythonC++
Detected Sep 22, 2026
Last verified Sep 22, 2026

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