Senior Software Engineer, Calibration

About the role

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. P art 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. Meet the Team The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform. We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization. We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities. We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking. Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.

Responsibilities

• As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
• Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
• Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
• Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
• Experience with camera intrinsic and extrinsic calibration.
• Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
• Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
• Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
• Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
• Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.
• What You'll Need to Succeed
• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5-7+ years of experience (or a Master's Degree with 3-5+ years of experience).
• Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
• Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
• Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
• Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
• Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
• Demonstrated experience designing scalable software architectures and leading technical initiatives.
• Excellent problem-solving skills and ability to drive cross-team technical alignment.
• Bonus Points!
• Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
• Background in sensor simulation, synthetic data generation, or validation frameworks.
• Prior contributions to ROS-based open-source calibration or robotics tools.
• Experience influencing technical roadmaps and

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