Engineering Manager - Perception, Self-Driving Systems

The role

You will lead a team that owns the perception model for autonomy stacks. You will manage the model lifecycle from architecture and training to deployment on embedded compute.

What you will do

• 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 hands-on
• Own model performance across the full deployment surface
• Manage the model lifecycle from training through quantization and deployment on embedded compute
• Work directly with OEM customer programs to understand sensor configurations and requirements
• Recruit, develop, and technically lead a team of perception engineers

Required qualifications

• Bachelors degree in any field, or equivalent combination of education and work experience
• 5+ years in ML/deep learning for perception or 3D scene understanding
• Deep hands-on experience training and deploying vision models at scale
• 2+ years managing a perception team
• Ability to set direction and contribute to architecture and training decisions directly
• Experience building production perception systems, especially camera-only or camera-first solutions
• Track record deploying perception models to embedded hardware under real-time latency and compute constraints
• Strong software engineering in Python and C++

Nice to have

• Deep familiarity with transformer-based architectures for 3D perception, BEV representations, multi-task learning, and dense prediction
• Familiarity with occupancy-based scene representations, sparse query-based architectures, or temporal aggregation approaches
• Experience reducing or removing map dependencies in perception systems
• Background in autolabel pipelines, data quality monitoring, or data flywheel design for perception
• Experience with closed-loop simulation for perception model evaluation
• Experience at an AV company that has shipped perception to production

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.