Software Engineer II - Localization

Torc Robotics • Ann Arbor, MI

22h

About The Position

Accurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks. Core capabilities such as perception, prediction, planning, and control depend on reliable ego-motion and localization estimates to ensure safe and efficient vehicle behavior. The Ego-Motion & Localization Team develops the algorithms and software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will help develop and deploy production-ready localization and sensor fusion solutions while gaining firsthand experience with the challenges of bringing autonomous vehicle technology to real-world commercial applications.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Robotics, Aerospace Engineering, Electrical Engineering, or a related technical field.
• 3+ years of professional software development experience using modern C++.
• Strong software engineering fundamentals including object-oriented design, algorithms, data structures, testing, debugging, and performance optimization.
• Proficiency in Python for tooling, analysis, and prototyping development.
• Experience developing software for robotics, autonomous systems, embedded systems, or other real-time applications.
• Experience developing localization, state estimation, or sensor fusion solutions using data from IMUs, GNSS receivers, cameras, lidar sensors, radar sensors, or related sensing technologies.
• Experience designing, implementing, and validating production-quality software in Linux environments.
• Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.

Nice To Haves

• Experience with computer vision, visual odometry, SLAM, mapping, or perception systems.
• Experience with estimation and optimization frameworks such as GTSAM, Ceres Solver, or similar tools.
• Familiarity with machine learning frameworks such as PyTorch.
• Experience developing machine learning-based computer vision solutions, including feature extraction, keypoint detection, or localization-related models.
• Knowledge of vehicle kinematics and dynamics.
• Experience with Docker, Git, GitHub Actions and CI/CD workflows.
• Experience with ROS/ROS 2.
• Familiarity with functional safety standards and automotive development processes, including ISO 26262.

Responsibilities

• Design, develop, test, and deploy production software for ego-motion estimation and localization systems used in autonomous trucks.
• Develop robust and efficient solutions using modern C++ and Python across the full software development lifecycle.
• Design, implement, and improve state estimation and sensor fusion algorithms for vehicle pose, velocity, and acceleration estimation.
• Analyze real-world vehicle data to evaluate system performance and identify opportunities for improvement.
• Develop verification and validation strategies to ensure software quality, reliability, and safety.
• Collaborate with perception, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
• Support the development and integration of computer vision and machine learning-based components into localization and state estimation systems.
• Contribute to software architecture, code quality, and engineering best practices across the team.

Benefits

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level