7 hours ago
Remote, United StatesMid Level
H1B sponsor
Responsibilities
- Own algorithm and test requirements capture, reviews, and revisions for the localization team.
- Write and maintain simulation and track-test scenarios, including scenarios validating critical safety functions.
- Write and own Hardware-in-the-Loop testing for localization systems.
- Champion unit-test coverage across the localization codebase.
- Develop systems-level solutions that unblock localization algorithm and hardware work.
- Coordinate localization and safety algorithm configuration with neighboring teams.
- Participate in code reviews and requirements reviews.
Requirements
- Experience with requirements management tools such as Jama and with structuring unit, simulation, track, and Hardware-in-the-Loop test coverage.
- Familiarity with safety qualification standards related to localization accuracy.
- MSc in Mechanical Engineering, Electrical Engineering, Computer Science, or a related systems engineering field, with relevant demonstrable experience.
- Strong background in localization algorithms or estimation theory, including Kalman filtering and/or pose-graph optimization, is desired.
- Familiarity with LIDAR- and computer-vision-based localization, mapping, and calibration is desired; radar experience is a plus.
- Proficiency in C++ sufficient to understand and navigate the localization team's source code is desired.
- Hands-on, adaptable, and willing to work in detail and change approaches based on feedback.
About Glydways
Glydways builds on-demand urban transit systems that use small autonomous electric vehicles running on dedicated, low-footprint guideways. It designs and manufactures the vehicles and infrastructure and partners with cities, transit agencies, and private developers to deploy and operate the service. Founded in 2016 and headquartered in South San Francisco, the privately held company targets high-capacity, carbon-neutral mobility for dense corridors and campus-scale connections.