Software Engineer, Computer Vision / Machine Learning
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Role details
Tech stack
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Job description
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. Youβll design and implement the image processing algorithms and models that power Muonβs 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 centres and the edge. Youβll 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., * Design, train, evaluate, and iterate on image processing models for Muonβs 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.
- Hand algorithms and models off into the cloud serving stack and partner with mission and payload teams to define requirement needs and acceptance criteria.
- Own verification and validation, including unit, integration, and performance regression tests.
Requirements
- Bachelorβs or Masterβs degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field.
- 3+ years of professional experience developing, shipping, and operating image computation or ML systems.
- Strong PyTorch skills, including designing, training, and evaluating models end-to-end.
- Demonstrated production experience with low-latency image computation models, deployed as containerised workloads on cloud infrastructure (AWS preferred).
- Hands-on ML data engineering: dataset curation, labeling, and versioning for training and evaluation. Measuring and improving algorithmic quality and performance.
- Strong Python skills beyond notebooks: tested, packaged, code-reviewed code that runs unattended in production.
- Strong written and verbal communication and ability to lead and conclude cross-functional technical discussions.
- Ability and willingness to obtain and maintain a U.S. security clearance. Active clearance is a plus., * Geospatial or remote-sensing imagery (optical, IR, SAR).
- Active-learning, data-centric ML, or labeling workflows.
- Deploying computer vision or image processing models to edge or embedded targets.
- GPU acceleration (CUDA, HIP, or similar).
- CI/CD for containerised workloads, including performance regression testing.
- Direct exposure to space, aerospace, or other mission-critical software environments.
Benefits & conditions
The salary range for this role is $212,000 - $233,000.00, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process., At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.
About the company
Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimise every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimised for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.
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