Senior Computer Vision Engineer

Diffraqtion is hiring a Senior Computer Vision Engineer to build models for its Quantum Vision System. The role owns the imaging pipeline from raw sensor output to actionable detections, including reconstruction, de-noising, detection, tracking, and deployment on embedded hardware. The engineer will work with optical and opto-mechanical engineers to optimize optics and algorithms together.

Responsibilities:

• Design, train, and deploy computer vision models for imaging and perception tasks like image reconstruction, detection, classification, and tracking tailored to our optical front end
• Develop de-noising and image-restoration methods (classical and learned) that are robust to sensor noise, radiation effects, low light, and optical aberrations
• Build a cohesive, end-to-end model of the imaging chain coupling physics-based optical and sensor models with neural networks to enable joint optimization of optics and algorithms
• Design and implement sensor fusion algorithms that combine camera data with other onboard sensors using probabilistic and learned approaches
• Integrate vision and fusion outputs into the system's real-time control loop, defining interfaces, latency budgets, and failure modes together with controls and embedded engineers
• Optimize and deploy models to resource-constrained edge hardware (e.g., embedded GPU, FPGA, or SoC), including quantization, pruning, and runtime profiling
• Build data pipelines and simulation tools for synthetic and lab-captured datasets, including calibration, labeling, and domain-gap analysis between simulation and hardware
• Define metrics and run hardware-in-the-loop experiments in the lab to validate algorithm performance on real sensor data
• Document designs and results clearly, and contribute to technical reviews and the team's shared codebase and best practices