자율주행 트럭의 위치 추정(Localization) 및 센서 퓨전 알고리즘을 설계하고 개발할 엔지니어를 모집합니다. C++ 및 Python을 활용한 실시간 시스템 개발 경험이 필수이며, 로보틱스나 자율주행 분야에서 3년 이상의 경력이 필요합니다. 상태 추정(State Estimation) 기술을 통해 자율주행의 핵심인 차량의 위치와 속도를 정밀하게 제어하는 역할을 수행합니다.
Ann Arbor, MI
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.
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.
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.
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.
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.
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
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
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102774
US Pay Range
$139,000 - $166,800 USD
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