Engineering Manager - Perception, Self-Driving Systems

Job summary

Responsibilities

Applied Intuition builds the software infrastructure for autonomous vehicles across passenger cars, trucking, mining, and defense. Our Self-Driving Systems (SDS) team develops production-grade autonomy stacks deployed on real vehicles across multiple continents, from highway trucking in Japan to…

• Own the perception model end-to-end: architecture, training, evaluation, and deployment. The core challenge is building a model that generalizes across geographies, road types…
• Drive a camera-first perception strategy. The goal is to progressively reduce dependencies on HD maps and lidar. How to get there is part of the job.
• Lead training and iteration cycles hands-on. You will be in the data, the eval dashboards, and the failure analysis.
• Own model performance across the full deployment surface: highway, urban, residential, ramps, complex intersections, poor weather, hilly terrain.
• Manage the model lifecycle from training through quantization and deployment on embedded compute, including device-specific optimizations.

What they're looking for

• 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, with ability to both 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, including device-specific optimizations.

Tech stack

• Python
• C++