Perception Engineer, Machine Learning

About this role

Anduril Industries seeks a Machine Learning Perception Engineer to develop and deploy production perception systems for autonomous vehicles (UAVs, USVs, UGVs). You'll own perception capabilities end-to-end—from model development and optimization to field deployment and monitoring—splitting time equally between new research and hardening existing pipelines for real-world autonomous platforms.

What you'll do

• Design, develop, and deploy perception models for detection, classification, segmentation, tracking, and sensor fusion across multiple autonomous vehicle platforms
• Optimize and deploy ML models to embedded hardware (NVIDIA Jetson/Orin) meeting real-time latency constraints
• Architect and improve CI/CD pipelines for continuous data ingestion, labeling, and model training
• Onboard new sensor modalities (EO, IR, stereo, radar, LiDAR) and integrate them end-to-end into production systems
• Monitor deployed models for performance drift and build tooling to detect and respond to field divergence
• Collaborate with hardware, systems, and program engineers to ship perception capabilities into production

What they're looking for

• Python for model development and training
• C++ or Rust for real-time embedded deployment
• PyTorch and OpenCV frameworks
• Model optimization (quantization, pruning, TensorRT, ONNX)
• Classical computer vision (calibration, homography, multi-view geometry)
• CI/CD practices and ML pipeline testing
• Robotics and autonomous vehicle experience
• Sensor fusion and multi-modal data integration