$153,200 – $183,800
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Join Torc's perception team to develop machine learning models that help autonomous trucks understand their surroundings through camera, LiDAR, and sensor fusion. This role suits engineers with computer vision and 3D perception experience who want to own model development end-to-end, from training through production deployment.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field with 4+ years industry experience (or Master's with 3+ years, or equivalent)
- Machine learning model development for computer vision, perception, robotics, or autonomous systems
- Production-quality Python and PyTorch code
- Training and evaluating deep learning models on large-scale datasets
- Image-based or 3D perception system experience
- Deep learning architectures for perception applications
- Debugging model behavior and analyzing performance metrics
- Cross-functional collaboration to integrate ML models into production systems
Nice to have
- Autonomous driving, robotics, or ADAS perception systems experience
- LiDAR, point cloud processing, sensor fusion, or BEV representation experience
- Temporal or video-based perception models
- C++ or ROS experience
- Production ML deployment in autonomy or robotics platforms
- Large-scale distributed training experience
- Perception evaluation frameworks and benchmarking
- ML tooling or training workflow improvements
- Technical leadership of small initiatives or production ML components