Senior Software Engineer, Cloud Image/ML Compute Architecture

About the role

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

This role works directly with the team that produces our image data products. As the architect for our cloud image processing and ML infrastructure, you'll design, build, and deploy the serving platform that runs Muon's image algorithms and ML models in production. Architecture and performance optimization are the core of the job: you'll set the patterns the rest of the team uses to take research models to a low-latency production service, and you'll own the interfaces by which our data pipelines invoke that serving layer.

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

Responsibilities

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• Architect, develop, align and deploy the cloud image processing and ML serving stack for Muon's ground data products, including runtime integration, request batching, and serving multiple customer data feeds.
• Design distributed, low-latency image processing systems that scale in the cloud.
• Define the patterns and interfaces by which data pipelines call into performant native/accelerated code.
• Set up a production-grade image processing and ML serving path for the Image Data Product pipeline, and extend the architecture to support upcoming imaging and onboard-compute missions and future onboard accelerator opportunities.
• Deliver high-performance reference algorithm implementations and benchmark them.
• Mentor other engineers on modern C++, image and ML runtimes, and distributed-systems design.
• Own verification and validation, including unit, integration, and performance regression tests.
• Produce clear designs, trade studies, and interface documentation.

Required Qualifications

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* Bach