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This position was posted on April 10, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Remote
Job Type
Full-time
Category
DevOps & SysAdmin
Date Posted
April 10, 2026
Full Job Description
đź“‹ Description
- • As a Senior Site Reliability Engineer focused on AI Infrastructure, you will design, operate, and debug large-scale GPU infrastructure used for distributed training and inference, directly supporting customers pushing the limits of modern AI systems.
- • You will own GPU cluster architecture, customer technical partnerships, reliability and performance engineering, networking and fabric health, observability, automation and tooling, and incident leadership for complex multi-layer failures.
- • Andromeda Technologies Inc. builds the liquidity layer for global AI compute, providing scaled AI infrastructure to startups and AI labs through a global platform that routes training and inference jobs across supply for maximum flexibility and efficiency.
- • You will have significant ownership and autonomy to shape foundational systems, influence technical direction, and help define world-class AI infrastructure operations while working directly with customers and cloud providers.
Skills & Technologies
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About Andromeda Technologies Inc.
Andromeda is a technology company focused on developing advanced AI solutions for the space industry. Their core business revolves around creating sophisticated software and hardware that enhances space exploration, satellite operations, and data analysis. Andromeda's platform leverages machine learning and computer vision to automate complex tasks, improve mission efficiency, and provide actionable insights from vast amounts of space-derived data. They aim to be a leader in the burgeoning space tech sector, offering innovative tools that empower researchers, commercial entities, and government agencies to better understand and utilize the space environment. Their work supports a range of applications from Earth observation to deep space missions.
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