Torc Robotics

Torc Robotics

Senior Software Engineer, Calibration

Remote - Canada, Montreal, Canada · Senior · Full-time

Sponsorship not specifiedDetected 16 days ago
PythonC++GitDockerCI/CDLinuxData EngineeringComputer VisionRoboticsElectrical EngineeringSensorsTest AutomationResearchAdaptability

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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
  • A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.

Requirements

  • Experience with camera intrinsic and extrinsic calibration.
  • 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).
  • Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).

Benefits

  • 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.

Company info

  • At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
  • 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 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.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.