Torc is looking to develop software for automated trucks to transform how the world moves freight, and this role is focused on advancing the frontier of closed-loop autonomous driving performance.
Requirements
- 10+ years of experience developing deep learning systems for perception, planning, or control.
- M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent practical experience).
- Deep expertise in multi-modal ML, sequence modeling, or policy learning (e.g., Transformers, diffusion models, imitation learning).
- Proven track record in large-scale model training and optimization for real-world tasks.
- Strong proficiency in Python, PyTorch, or TensorFlow, and experience with distributed ML frameworks.
- Solid understanding of sensor fusion, spatiotemporal modeling, and vehicle dynamics.
- Experience using Ray
Responsibilities
- Lead E2E model design and development — define architectures that directly map multi-modal sensor inputs (camera, LiDAR, radar, HD maps) to mid- or high-level driving actions or cost functions.
- Drive large-scale training and evaluation for E2E learning, integrating data from perception, behavior prediction, and control systems.
- Develop and refine learning objectives that align with real-world driving metrics: safety, comfort, compliance, and efficiency.
- Architect scalable pipelines for multi-task, multi-modal learning, leveraging both real-world and synthetic data.
- Prototype and evaluate new paradigms such as differentiable planning, imitation learning, reinforcement learning, and world models for AV behavior.
- Collaborate cross-functionally with Perception, Prediction, and Motion Planning teams to align interfaces and ensure consistency between learned and modular components.
- Establish robust evaluation frameworks for E2E performance, including closed-loop simulation and on-road validation.
Other
- M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent practical experience).
- Demonstrated leadership in driving technical roadmaps, mentoring teams, and delivering production-quality ML solutions.
- 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)
