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What You'll Do:
- Develop and train computer vision and deep learning models for road‑lane detection.
- Build 3D road surface and lane geometry models in BEV space.
- Analyze model performance and improve robustness.
What You'll Need to Succeed:
- Bachelor’s degree in Computer Science or related field with 4+ years of experience.
- Hands‑on experience developing ML models for perception tasks.
- Proficiency in Python and PyTorch.
Bonus Points:
- Experience working specifically on lane perception.
- Experience with CUDA kernels or custom PyTorch operations.
- Publications in major ML/CV conferences.
Torc Robotics
Torc Robotics focuses on developing autonomous driving technology, particularly for trucking applications. They aim to create safe and reliable autonomous systems. The company fosters collaboration between expert teams to push the boundaries of autonomous vehicle capabilities.