42dot
Calibration, Mapping & Localization Engineer
Sunnyvale, United States. Posted 6 days ago
The role
This role builds the calibration, mapping, and localization stack for a multi-vehicle-class fleet. You will design sensor calibration systems, maintain mapping pipelines, and develop localization algorithms.
What you will do
- Design and implement sensor calibration systems 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 from on-road and simulation testing
Required qualifications
- Bachelor's or Master's degree in Computer Science, Robotics, EE, Mathematics, or 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
- A demonstrated ability to work through difficult technical problems methodically, with growing independence
Nice to have
- 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
Before you apply
- Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
- All documents must be submitted in PDF format and under 30MB in size
About the company
42dot is a mobility AI company and the Global Software Center of Hyundai Motor Group. They develop software-defined vehicle technologies to advance autonomous urban transportation.