Senior Machine Learning Engineer Tracking
Torc Robotics is a Daimler Truck subsidiary developing Level 4 autonomous-driving software and systems for long-haul Freightliner Cascadia trucks.
About Torc Robotics
Founded in 2005 as Torc Technologies, Torc Robotics commercializes self-driving trucking technology, including its virtual-driver software, for freight operations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and deploy machine-learning models for multi-object tracking, pose and kinematic estimation, and sensor fusion. You will build scalable training and evaluation workflows, analyze vehicle data, improve production C++ and Python software, define validation strategies, and guide technical design, reviews, and engineering practices.
Requirements
- Bachelor's degree with 6+ years of relevant industry experience, Master's degree with 3+ years, or PhD with 1+ year
- Experience with autonomous vehicle or robotics perception systems
- Experience developing and deploying ML models for perception, localization, or sensor fusion
- Proficiency with PyTorch and modern ML tooling
- Understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics
- Experience with large multimodal datasets and scalable processing, labeling, and evaluation pipelines
- Software engineering skills in Python and C++
- Knowledge of algorithms, data structures, testing, debugging, and performance optimization
- Written and verbal communication skills
Responsibilities
- Design, develop, and deploy production ML models for multi-object tracking
- Develop scalable training and evaluation workflows using PyTorch, distributed infrastructure, and real-world datasets
- Design and improve tracking and sensor fusion algorithms
- Analyze vehicle data to identify failure modes and improve models and systems
- Develop production software in C++ and Python
- Define evaluation, verification, and validation strategies for tracking quality, robustness, and safety
- Make technical design and architecture decisions
- Collaborate to deliver integrated autonomous driving capabilities
- Provide technical leadership through design reviews, code reviews, mentoring, and engineering best practices
Benefits
- Bonus component
- Stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexible schedule
- Generous paid vacation available immediately after start date
- AD+D insurance
- Life insurance