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Niche senior ML/CV leadership role with PhD preference at a non-metro startup reduces applicant density.
Highly domain-specific CV and multi-sensor fusion expertise required, limiting cross-industry transferability.
Requires PhD-level research expertise, deep CV/ML skills, and production-scale distributed training experience.
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Define and lead technical direction for perception research in autonomous driving focusing on computer vision and deep learning.
Develop and translate novel neural architectures, optimization strategies, and multi-sensor fusion techniques into production-scale perception systems.
Mentor senior engineers, conduct technical reviews, and establish best practices across the perception technology stack.
Deep expertise in computer vision, modern deep learning, and multi-sensor fusion (camera, LiDAR, radar, IMU/GNSS).
Strong mathematical foundation including optimization algorithms, probability, linear algebra, and statistical learning.
Production experience with PyTorch, CUDA, distributed training frameworks, and large-scale model training on GPU clusters.
Work Experience Required: Not explicitly mentioned in the JD; PhD preferred, exceptional MS candidates considered.
Advanced research background (PhD or equivalent) in Computer Vision, Machine Learning, Robotics, or AI with demonstrated industry or research impact.
Ability to solve fundamental technical challenges, innovate on network design and optimization grounded in first principles.
Experience driving end-to-end perception system development with operational considerations: latency, scalability, robustness, and deployment constraints.