Perception Engineer
Core
Design, train, and deploy vision and multi-sensor perception systems for autonomous defense platforms to enable navigation, targeting, and automatic target recognition in contested environments.
Role type
Senior IC perception engineer (autonomous systems)
Builds
AI-forward autonomy stack for defense platforms
Domain
Defense technology, autonomous systems, computer vision
Deliverable
production ML models
Required skills
Production C++ on Linux, Python for ML, CUDA optimization, deep learning (CNN/Transformer), computer vision (detection/segmentation/tracking), embedded systems, model compression (quantization/pruning), real-time inference, dataset creation and labeling, simulation-based testing
Preferred skills
Multi-modal perception fusion (radar/LiDAR/RF), robustness and safety testing, physics-aware imaging, MLOps and data infrastructure
Technologies
PyTorch, TensorRT, ONNX Runtime, Jetson, CUDA, RetinaNet, FCOS, DETR, Mask2Former
Responsibilities
Build and refine detection/segmentation/tracking architectures for EO/IR and multi-spectral imagery; Stand up training/eval pipelines with regression testing; Optimize models for real-time embedded inference on Jetson-class hardware; Combine vision outputs with auxiliary sensing for track management; Create visualization and root-cause tools for rapid insight; Perform simulation-based testing and validate algorithms with real-world data
Seniority
Senior, hands-on IC
