EOI Space · 23 hours ago
Staff Software Engineer – Payload
EOI Space is developing and deploying a network of satellites in Very Low Earth Orbit to provide ultra-high-resolution Earth imagery. They are seeking a Staff Software Engineer to develop systems and applications for managing a High-Performance Computing cluster in the payload subsystem, focusing on building robust infrastructure for on-orbit processing of image data.
Satellite Communication
Responsibilities
Coordinate, code, and lead implementation of cluster management and workload coordination systems and tools to manage the HPC
Work hand in hand with Security, Export Compliance, and DevOps/Platform engineering to ensure we can deploy and maintain test, qualification, and flight–level updates
Operate in a lean startup environment, maintaining a laser focus on the balance between what we need today and the things we are excited to add and enhance tomorrow
Partner closely with the Image Science team to build world-class onboard image processing capabilities, translating algorithm requirements into efficient, deployable solutions on the HPC cluster
Develop and deploy software to bench, rack, and flight versions of the payload processing system
Support integration of the Payload subsystem with bus Flight Software and RF communications systems
Support testing and qualification campaigns as well as on-orbit updates
Optimize for space – select and apply lightweight but modern OSS frameworks and tools, applied in a bandwidth-conscious way to support on-orbit updates to any level of the system (OS to applications)
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, Aerospace Engineering, or a related technical field
High competency with both scripted and compiled/type-checked languages (e.g. Python, C++, Go)
8 - 12 years professional experience in software engineering
Containerized workload management (Kubernetes)
Relevant experience will include OS level programming, containerized cluster management, embedded systems development, hardware acceleration, and a solid understanding of tradeoffs between features and footprint
Preferred
CUDA programming experience
Container optimization experience
Experience building and optimizing scalable distributed image processing workflows
Experience with aerospace software and development of systems critical applications
Company
EOI Space
At EOI Space, we like to challenge the status quo and believe the path to a better tomorrow is in working smarter—not harder.
Funding
Current Stage
Early StageTotal Funding
unknown2020-03-31Seed
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