Software Engineer, Computer Vision / Machine Learning

About the role

Muon Space is expanding its High Performance Compute (HPC) team to accelerate mission-critical data products and unlock a growing pipeline of computer-vision and ML workloads across ground and flight systems.

This role works directly with the team that produces our image data products. You'll design and implement the image processing algorithms and models that power Muon's ground and flight products, including segmentation, feature classification, labeling, traditional image computation, and related tasks, with a strong emphasis on low latency and deployability onto cloud data centers and the edge. You'll also own the processing and ML data engineering foundation.

This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities

• Design, train, evaluate, and iterate on image processing models for Muon's ground processing and onboard flight systems.
• Build and own the image and ML data engineering foundation.
• Optimize algorithms and models for low latency operation on cloud compute environments, and edge/onboard deployment in constraint environments.
• Contribute to high-performance reference algorithms and implementations and benchmark them.