Engineering Manager - Perception, Self-Driving Systems

What you'll do

• Own perception model architecture, training, evaluation, and deployment, including performance across varied environments and sensor configurations.
• Lead hands-on model iteration and manage the lifecycle through quantization and embedded deployment; work with OEM customers on requirements.
• Recruit, develop, and technically lead perception engineers.

What they ask for

• 5+ years in ML/deep learning for perception or 3D scene understanding, with hands-on experience training and deploying vision models at scale.
• 2+ years managing a perception team while contributing directly to architecture and training decisions.
• Experience building production perception systems and deploying models to embedded hardware under real-time constraints, including device-specific optimizations.
• Strong Python and C++ software engineering; experience scaling perception models across geographies, sensor setups, or vehicle platforms.

Nice to have

• Familiarity with transformer-based 3D perception, BEV representations, multi-task learning, dense prediction, occupancy representations, or temporal aggregation.
• Experience with map-dependency reduction, perception data pipelines, closed-loop simulation, or production AV perception.

Pay

$267K – $354K USD base salary

Tools

Python, C++

AI focus

Develops and deploys a shared, camera-first perception model for autonomous vehicles, with the aim of generalizing across programs and progressively reducing dependencies on HD maps and lidar.