Principal AI/ML Autonomy Engineer
Core
Architecting and deploying embedded AI/ML systems for mission-critical spaceflight autonomy, integrating models directly into flight software stacks for on-orbit operations.
Role type
Principal AI/ML Autonomy Engineer (hands-on IC lead)
Builds
Embedded autonomous systems for space infrastructure and on-orbit mobility
Domain
Aerospace / Spaceflight / Embedded Systems
Deliverable
production ML models
Required skills
Embedded AI/ML architecture, model optimization for edge deployment (quantization, pruning), Python, C/C++, PyTorch, TensorFlow, ONNX Runtime, RTOS, hardware-aware optimization
Preferred skills
Autonomous spacecraft operations, radiation-tolerant compute deployment, flight software integration, ROS/ROS2, formal V&V methods
Technologies
PyTorch, TensorFlow, ONNX Runtime, TensorRT, TFLite, NVIDIA Orin, Xilinx Versal, RTOS
Responsibilities
Define and execute technical roadmap for embedded AI/ML, architect and fine-tune models for SWaP-C constraints, integrate models into flight software stack, champion V&V and assurance practices for mission-critical systems, serve as technical authority and force multiplier, represent AI/ML capability to government customers
Seniority
Principal, hands-on IC lead with strategic visibility
