Technical Lead Manager - Perception, Self-Driving Systems

Responsibilities

• Own the perception model end-to-end, including architecture, training, evaluation, and deployment
• Drive a camera-first perception strategy to reduce dependencies on HD maps and lidar
• Lead training and iteration cycles, performing deep-dive failure analysis and data evaluation
• Manage the model lifecycle from training through quantization and deployment on embedded compute
• Work with OEM customer programs to translate sensor configurations and target ODDs into model strategy
• Recruit, develop, and technically lead a team of perception engineers while 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 a perception team
• Proven experience building and deploying production-grade perception systems
• Experience deploying perception models to embedded hardware under real-time latency and compute constraints
• Proficiency in Python and C++ across the stack from training to onboard inference

Preferred Qualifications

• Deep familiarity with transformer-based architectures, BEV representations, and multi-task learning
• Experience with occupancy-based scene representations or temporal aggregation approaches
• Background in autolabel pipelines, data quality monitoring, or data flywheel design
• Experience with closed-loop simulation for perception model evaluation

Benefits

• Competitive compensation including base salary and equity (options or RSUs)
• 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.