Engineering 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 data analysis and failure analysis
• Manage model performance across diverse deployment surfaces like highway, urban, and poor weather
• Oversee the model lifecycle from training through quantization and deployment on embedded compute
• Work with OEM customers to translate sensor configurations and performance requirements into technical strategy
• Recruit, develop, and technically lead a team of perception engineers

Requirements

• 5+ years in ML/deep learning for perception or 3D scene understanding
• 2+ years managing a perception team
• Experience building production perception systems, specifically camera-first solutions
• Track record deploying perception models to embedded hardware under real-time constraints
• Strong software engineering skills in Python and C++
• Experience scaling perception models across multiple geographies or vehicle platforms

Preferred Qualifications

• Familiarity with transformer-based architectures, BEV representations, and multi-task learning
• Knowledge of occupancy-based scene representations or temporal aggregation
• Experience reducing map dependencies in perception systems
• Background in autolabel pipelines or data flywheel design
• Experience with closed-loop simulation for perception evaluation
• Previous experience at an AV company that has shipped perception to production

About the Company

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