Software Engineer, Computer Vision / Image Processing
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 image processing and ML workloads across ground and flight systems.
This role works directly with the team that produces our image data products. You'll take the most expensive stages of our imaging pipelines, including bundle adjustment, orthorectification, image I/O and reprojection, and re-implement them as high-throughput, low-latency services, with hardware acceleration where possible. This is a hands-on implementation role for a classical imaging specialist who wants to see their algorithms running in production at scale.
This position is hybrid and requires working on-site in our San Jose, CA office three days per week.
Responsibilities
- Implement and re-implement expensive imaging-pipeline stages in performant C++, including bundle adjustment, orthorectification, and image format handling, and expose them cleanly to Python.
- Drive down IR Data Product pipeline latency by replacing expensive stages with optimized implementations (e.g. GPU-based orthorectification), and extend the same approach to other imaging data product and missions.
- Work with the image data products team to identify the highes
