Staff Software Engineer, Infrastructure Architecture - AI/ML

September 7

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The cloud ☁️ of choice for developers, startups, and growing digital businesses around the world.

Cloud Computing • Cloud Servers • Virtual Hosting • Cloud Hosting • Cloud Infrastructure

1001 - 5000

Description

• Design, develop, and optimize virtualized GPU infrastructure • Define and refine infrastructure requirements for AI/ML workload • Define infrastructure requirements to store, move, and manipulate large datasets • Guide performance teams on testing methodologies and optimize GPU fabric throughput • Identify security improvements and drive review discussions • Influence a culture of engineering excellence • Deliver new infrastructure functions in support of AI/ML products • Drive technical strategy for medium and long term roadmaps • Contribute to open source communities

Requirements

• Experience delivering virtualized and/or bare metal GPU infrastructure • Understanding of AI/ML workloads and overall industry trends • Track record of upstream contribution and influence in relevant open source communities • Experience driving technical strategy for a company or larger organization • Strong collaborator and consensus builder • Experience troubleshooting, analyzing, and debugging relevant virtualization stacks • Experience as a software engineer / developer in a large scale, distributed environment • Experience writing secure, testable, and robust low-level code • Deep understanding of operating systems, virtualization, and Linux internals • Familiarity with related virtualization fundamentals • A critical thinker dedicated to solving problems

Benefits

• Competitive benefits to support well-being • One-time work from home stipend • Wellness allowance • Flexible time off policy • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses