$177,300 – $212,800
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
Torc is hiring a senior machine learning engineer to develop and deploy production tracking systems for autonomous trucks, focusing on multi-object tracking, sensor fusion, and state estimation across camera, LiDAR, and radar inputs. This role suits experienced ML practitioners who want to apply deep learning and robotics expertise to real-world autonomous vehicle challenges at scale.
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, Software Engineering, Robotics or related field with 6+ years industry experience, or Master's degree with 3+ years experience, or PhD with 1+ year experience
- Experience with autonomous vehicle or robotics perception systems
- Strong experience developing and deploying ML models for perception, localization, or sensor fusion
- Proficiency with PyTorch and modern ML tooling
- Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals
- Ability to work with large multimodal datasets and build scalable pipelines
- Strong software engineering fundamentals in Python and C++
- Strong written and verbal communication skills and cross-functional collaboration
Nice to have
- Experience with state estimation techniques such as factor graphs, Kalman filtering, or nonlinear optimization
- Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks
- Knowledge of embedded and real-time constraints for on-vehicle deployment
- Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling
- Contributions to open-source robotics, perception, or ML frameworks
- Familiarity with functional safety standards and automotive development processes including ISO 26262