Calibration, Mapping & Localization Engineer

42dot•San Francisco, CA
•$150,000 - $205,000

About The Position

42dot is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies through software and AI. The Calibration, Mapping & Localization Engineer will build the calibration, mapping, and localization foundation used by perception and planning models across a multi-vehicle-class fleet that includes passenger vehicles, robotaxis, buses, and trucks. As an early member of a founding team, this engineer will help establish sensor calibration methodology and tooling for online and offline use, mapping strategy and representation, drift-detection pipelines, and localization architecture and technical roadmaps as the fleet scales. The role covers factory and in-field systems, as well as validation and diagnosis using on-road and simulation testing.

Requirements

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related field.
  • 2–4 years of experience in sensor calibration, SLAM, mapping, localization, or multi-sensor fusion.
  • Working knowledge of estimation theory, including Kalman filters, factor graphs, or optimization-based fusion.
  • Solid software engineering skills in C++ and/or Python.
  • Experience contributing to production-grade robotics systems.
  • Ability to work through difficult technical problems methodically, with growing independence.

Nice To Haves

  • Exposure to autonomous driving or robotics across multiple vehicle classes.
  • Exposure to HD map creation and maintenance pipelines.
  • Experience with LiDAR, camera, or radar extrinsic calibration.
  • Familiarity with functional safety requirements such as ISO 26262.

Responsibilities

  • Design and implement sensor calibration systems for cameras, LiDAR, radar, and IMUs for factory and in-field use.
  • Build and maintain mapping pipelines, including map creation, versioning, and drift detection.
  • Develop and improve localization algorithms, including sensor fusion, odometry, and SLAM.
  • Define accuracy, latency, and reliability requirements for outputs consumed by downstream teams.
  • Build tooling to validate calibration and localization quality at fleet scale.
  • Diagnose and resolve calibration and localization failures found in on-road and simulation testing.
  • Help shape the team's calibration methodology and tooling, mapping strategy and representation, drift-detection pipelines, and localization architecture and technical roadmap.
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