AI and Computer Vision Engineer
Core
Building perception capability for autonomous close-proximity space operations, specifically 6-DoF pose estimation of non-cooperative spacecraft from camera images.
Role type
AI and Computer Vision Engineer
Builds
Deep-learning models for relative position/orientation estimation, optimized for embedded and neuromorphic flight hardware.
Domain
Aerospace, Space Transportation, Autonomous Navigation
Deliverable
production ML models
Required skills
Deep learning, Computer vision, 6-DoF pose estimation, Model optimization (quantization, distillation, pruning), Embedded deployment, Synthetic data generation, Sim-to-real domain adaptation, Python, PyTorch, 3D geometry (PnP, RANSAC)
Preferred skills
Neuromorphic hardware, Spiking neural networks, Federated learning, Differential privacy, Blender/Unreal Engine/Isaac Sim, Space-qualified sensor characterization
Technologies
PyTorch, JAX, TensorFlow, Linux, Git, Docker, Cloud GPU, HPC
Responsibilities
Designing/training/evaluating pose estimation models, owning full training pipeline (data gen, augmentation, tracking), optimizing models for flight compute constraints, porting to embedded/neuromorphic hardware, building explainability/uncertainty pipelines, prototyping self-supervised refinement, defining validation criteria with GNC/FPO, running hardware-in-the-loop validation campaigns
Seniority
Mid-level, hands-on IC (3+ years experience)
