Torc Robotics
Senior Machine Learning Engineer - Localization
Remote - U.S, Ann Arbor, MI · Senior
Sponsorship not specifiedDetected 19 days ago
PythonC++Data StructuresAlgorithmsCode ReviewMachine LearningPyTorchMLOpsRoboticsSensorsLeadershipMentoring
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42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Meet the Team 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.
Responsibilities
- Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.
- Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
- Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.
- Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
- Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
- Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
- Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
- Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.
- Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.
- Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
Requirements
- Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
- Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
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.
- Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
- Meet the Team
- Accurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks.
- 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 develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.
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