Senior Software Engineer, Perception Architecture

Highlights

• Develop foundational ML architectures scaling perception for autonomous trucking.
• Prototype novel solutions for long-tail scenarios and long-range detection.
• Drive technical direction across Actor Detection, Tracking, and Scene Understanding.

Ideal candidate

Applied researcher-engineer who thrives on ambiguous, cross-cutting perception challenges and turning prototypes into robust products. Collaborative technical leader passionate about safe autonomous trucking and aligning teams around scalable solutions.

Requirements

• BS with 4+ years, MS with 2+ years, or PhD with 1+ years in Robotics, Computer Vision, Machine Learning or related perception field
• Extensive experience architecting, training and evaluating deep learning models for challenging problem spaces
• Track record driving applied research or engineering projects from conception and experimentation to productization
• Strong experience in software engineering, ML algorithm design and building data/metrics pipelines
• Fluency in Python and hands-on experience with C++
• Experience delivering detection, segmentation, tracking or other perception solutions for real-time robotic applications