As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).

- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.

- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.

- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Qualifications:

- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.

- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.

- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.

- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.

Bonus:

- Experience with building and managing complex data pipelines.

- Experience working on real-time state estimation integrity monitoring.

- Solid knowledge in performance profiling and optimization.

- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.