Senior Sensor Calibration, SLAM & Localization Architect

42dot; Sunnyvale (CA); In loco; USD 200.000 - 300.000; Tempo pieno

Descrizione del lavoro

42dot is seeking an expert to own the calibration, mapping, and localization stack for a multi-vehicle‑class fleet, including passenger cars, robotaxis, buses, and trucks. You will ensure the foundation on which perception and planning models rely.

This founding team role shapes calibration tooling, drift-detection pipelines, and roadmaps, balancing accuracy, latency, and reliability for fleet-scale deployment across simulation and on-road tests.

Competenze

• Bachelor's, Master's, or PhD in Computer Science, Robotics, EE, Mathematics, or related field.
• Strong background in calibration, SLAM, and localization methods.
• Experience leading projects from concept to deployment.
• Proficiency in C++ and Python.

Mansioni

• 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.

Conoscenze

Sensor calibration

SLAM & localization

Multi-sensor fusion

C++/Python

Software architecture

Formazione

Bachelor's, Master's, or PhD in Computer Science, Robotics, EE, Mathematics

Strumenti

Kalman filters

Factor graphs

Optimization-based fusion

Descrizione del lavoro

42dot is seeking an expert to own the calibration, mapping, and localization stack for a multi-vehicle‑class fleet, including passenger cars, robotaxis, buses, and trucks. You will ensure the foundation on which perception and planning models rely.

This founding team role shapes calibration tooling, drift-detection pipelines, and roadmaps, balancing accuracy, latency, and reliability for fleet-scale deployment across simulation and on-road tests.