Machine Learning Perception Technical Lead, Applied Intuition

• 5+ years of industry experience in autonomous driving, with a strong focus on perception systems
• Experience managing and mentoring teams of machine learning engineers or researchers
• Proven track record of architecting scalable, modular ML pipelines and delivering production-grade perception systems in complex, dynamic environments
• Strong programming skills in Python and/or C++, with hands-on experience using modern deep learning frameworks such as PyTorch or TensorFlow

Desirable

• We are looking for a lead software engineer with expertise in ML-first perception for autonomous vehicles or mobile robots
• You will be a technical lead guiding the engineering team in building out key ML capabilities of our autonomous vehicle stack for commercial trucking
• You and your team will develop across all sensor modalities: camera, lidar, and radar with a strong focus on long-range object detection and tracking
• Lead the design and development of advanced deep learning models for perception, with a goal of integrating perception into a fully end-to-end autonomy stack
• Collaborate closely with Planning, Prediction, and Simulation teams to define closed-loop evaluation metrics, use real and synthetic data for model training, fine tuning and performance evaluation
• Mentor a team of machine learning engineers, fostering a culture of innovation, safety, and deployment-readiness in the development of E2E-centric perception systems