Software Engineer (Computer Vision / Machine Learning)

• 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
• 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
• 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

Benefits

• 100% health, dental, and vision coverage for employees; 50% coverage for dependents (Concierge Medical offered through One Medical where available)
• Parental leave for primary and secondary caregivers
• Generous time off policy
• 401(k) plan through Betterment and equity management through Carta
• Fully stocked kitchen at our HQ and we cater lunch 3 days per week
• Dog-friendly office- Hands-on ML data engineering: dataset curation, labeling, and versioning for training and evaluation. Measuring and improving algorithmic quality and performance
• Strong PyTorch skills, including designing, training, and evaluating models end-to-end
• Strong written and verbal communication and ability to lead and conclude cross-functional technical discussions
• Strong Python skills beyond notebooks: tested, packaged, code-reviewed code that runs unattended in production
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field
• Demonstrated production experience with low-latency image computation models, deployed as containerized workloads on cloud infrastructure (AWS preferred)
• 3+ years of professional experience developing ,shipping, and operating image computation or ML systems
• Ability and willingness to obtain and maintain a U.S. security clearance. Active clearance is a plus
• To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
• Direct exposure to space, aerospace, or other mission-critical software environments
• Deploying computer vision or image processing models to edge or embedded targets
• CI/CD for containerized workloads, including performance regression testing
• Geospatial or remote-sensing imagery (optical, IR, SAR)
• GPU acceleration (CUDA, HIP, or similar)
• Active-learning, data-centric ML, or labeling workflows