Image Processing Engineer — Low-Latency Edge & Cloud

Muon Space; San Jose (CA); Hybrid; USD 212,000 - 233,000; Full time

Job summary

Muon Space in San Jose, CA is expanding its HPC team to design and deploy image processing and ML models for ground and flight systems. You will design, train, and evaluate models with a focus on low latency and deployability to cloud data centers and edge devices, owning the processing and ML data engineering foundation.

The role emphasizes shipping production-ready code with PyTorch and Python, deploying containerised workloads on AWS, and leading cross-functional discussions while validating

Qualifications

• Bachelor's or Master's degree in 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.
• 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.

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.
• 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.

Skills

PyTorch

Python

Low latency

ML systems

Leadership

Education

Bachelor's or Master's degree

Tools

AWS

Docker

Job description

Muon Space in San Jose, CA is expanding its HPC team to design and deploy image processing and ML models for ground and flight systems. You will design, train, and evaluate models with a focus on low latency and deployability to cloud data centers and edge devices, owning the processing and ML data engineering foundation.

The role emphasizes shipping production-ready code with PyTorch and Python, deploying containerised workloads on AWS, and leading cross-functional discussions while validating