Role overview
HEADBORNE seeks a Senior Machine Learning/AI Engineer to join our rapidly growing core systems team. You will develop machine learning solutions for advanced sensor technology from concept through deployment—optimizing object detection algorithms and pioneering ML-based image enhancement techniques that push the boundaries of what our sensors can achieve. This is a hands-on, high-impact role spanning model architecture, data pipeline development, embedded deployment, and system-level performance optimization. Working closely with hardware and systems engineers, you'll translate sensor capabilities into robust ML models that perform reliably in real-world conditions. We're looking for a brilliant, motivated engineer to join TEAM HEADBORNE—delivering mission-based, safe AI solutions that matter.
What you'll work on
- Own and lead the development of ML models for object detection, tracking, and image enhancement on embedded platforms.
- Build and maintain scalable data pipelines for sensor data ingestion, training, and evaluation.
- Optimize inference performance for low-latency, low-power edge compute (GPU/CPU/NPU) environments.
- Integrate ML models into mission-critical systems for AR helmets, drones, and robotic platforms.
- Conduct experiments and benchmarking across diverse imaging conditions and sensor types.
- Collaborate with software and hardware teams to align ML architecture with embedded system constraints.
- Contribute to codebase quality, model reproducibility, and CI/CD workflows for ML pipelines.
- Explore and prototype new ML applications aligned with HEADBORNE's mission.
What we're looking for
- Experience deploying real-time ML systems using TensorRT, ONNX Runtime, and the NVIDIA edge stack (quantization, pruning, etc.)
- Proficiency in C++ for high-performance or low-latency systems.
- Familiarity with modern ML Ops tools: experiment tracking, model registries, CI/CD pipelines.
- Experience designing and scaling data ingestion and processing pipelines.
- Background in advanced computer vision tasks such as object detection, super-resolution, denoising, or image enhancement.