About the position
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. The Sensor Calibration team at Torc plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform. We develop and maintain software tools and algorithms that calibrate and validate multi-modal sensors including cameras, Lidar, and IMUs-both in simulation and on real vehicles. Our work directly supports the safety, performance, and robustness of autonomous driving capabilities.
Responsibilities
- Design and implement scalable sensor calibration pipelines in Python and C++, leveraging OpenCV, ROS, and linear algebra libraries for real-time and offline calibration.
- Develop tools to perform and automate camera intrinsic calibration, Lidar-to-camera, and IMU-to-camera extrinsic calibration.
- Apply mathematical rigor using Lie groups, quaternions, and 3D transformations to support accurate calibration and registration.
- Build and maintain simulation tools and data pipelines for sensor modeling and calibration validation.
- Work closely with perception, simulation, and platform teams to ensure calibration accuracy across hardware configurations and software versions.
- Utilize Docker, Bazel, and Git to develop reproducible, containerized calibration workflows integrated into CI/CD pipelines.
- Debug sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualizers.
Requirements
- Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 3-5 years of experience (or a Master's Degree with 1-2 years of experience).
- Proficiency in Python and C++ for tool development and algorithm implementation.
- Experience with OpenCV, ROS, and numerical libraries for computer vision and robotics.
- Experience working with sensors and sensor data across multiple modalities.
- Strong understanding of camera intrinsic/extrinsic models, sensor alignment, and coordinate frame transformations.
- Familiarity with Lidar, IMU, and multi-sensor calibration, especially in robotics or autonomous systems.
- Solid grasp of 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) representations.
- Comfort working in Linux development environments, using Git, Docker, and command-line tools.
Nice-to-haves
- Experience with Rust or interest in learning it for high-performance tooling.
- Familiarity with non-linear least squares solvers (e.g., Ceres, g2o).
- Background in sensor simulation for synthetic data generation and validation.
- Contributions to ROS-based open-source calibration tools.
- Uses vim as a primary editor (yes, really).
- Willingness to travel on occasion.
Benefits
- Diverse and inclusive workplace.
- Encouragement to apply even if not meeting 100% of qualifications.
