Technical Lead Manager - Perception, Self-Driving Systems

Responsibilities

• Own the perception model end-to-end, including architecture, training, evaluation, and deployment across diverse geographies and sensor configurations.
• Drive a camera-first perception strategy to reduce dependencies on HD maps and lidar.
• Lead training and iteration cycles hands-on, performing deep failure analysis and data-driven improvements.
• Manage the model lifecycle from training through quantization and deployment on embedded hardware with real-time constraints.
• Work with OEM customers to translate sensor configurations and target ODDs into model architecture and data strategies.
• Recruit, develop, and technically lead a team of perception engineers, setting high technical standards.

Requirements

• 5+ years of experience in ML/deep learning for perception or 3D scene understanding.
• 2+ years of experience managing or technically leading perception teams.
• Proven experience building and deploying production-grade perception systems.
• Experience deploying models to embedded hardware under real-time latency and compute constraints.
• Proficiency in Python and C++ across the stack from training to onboard inference.
• Experience scaling perception models across multiple vehicle platforms or geographies.

Preferred Qualifications

• Deep familiarity with transformer-based architectures, BEV representations, and multi-task learning.
• Experience with occupancy-based scene representations or temporal aggregation.
• Background in autolabel pipelines, data quality monitoring, or data flywheel design.
• Experience with closed-loop simulation for perception model evaluation.
• Previous experience at an AV company that has shipped perception to production.

Benefits

• Competitive compensation including base salary and equity.
• Comprehensive health, dental, vision, life, and disability insurance.
• 401k retirement benefits with employer match.
• Learning and wellness stipends.
• Paid time off.

About the Company

Applied Intuition is powering the future of physical AI. We create the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.