We are looking for the best
About Us
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
About The Role
ML-first does not mean ML-only: every model this team ships depends on a vehicle that knows precisely where its sensors are, where it is in the world, and how confident it can be in both. This role owns that foundation, building the calibration, mapping, and localization stack that every perception and planning model is built on top of, across a multi-vehicle-class fleet spanning passenger vehicles, robotaxis, buses, and trucks.
Founding Team Opportunity
Most Autonomy Programs Set Their Calibration And Localization Architecture Years Ago And Are Now Stuck Maintaining It. This Team Is Establishing Its Framework Now, And An Early Hire Will Help Shape
- Sensor calibration methodology and tooling, both online and offline
- Mapping strategy, representation, and drift-detection pipelines
- Localization architecture and the technical roadmap as the fleet scales
Responsibilities
- Design and implement sensor calibration systems (camera, LiDAR, radar, IMU) 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
Qualifications
- A demonstrated ability to take difficult technical problems from ambiguity to successful deployment
- Bachelor's, Master's, or PhD in Computer Science, Robotics, EE, Mathematics, or related field
- 5+ years of experience in sensor calibration, SLAM, mapping, localization, or multi-sensor fusion
- Strong grasp of estimation theory, including Kalman filters, factor graphs, or optimization-based fusion
- Strong software engineering skills in C++ and/or Python, with a track record of leading projects from concept through deployment
Preferred Qualifications
- Autonomous driving or robotics background across multiple vehicle classes
- Experience with HD map creation and maintenance pipelines at scale
- Experience with LiDAR, camera, or radar extrinsic calibration in production vehicles
- Familiarity with functional safety requirements such as ISO 26262
