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Our client is searching for a Senior Software Engineer II- AI Infrastructure to join their team.

This is a 3-month contract to hire opportunity.

Responsibilities include:

Work with fellow teams to design, develop, and optimize the next generation of GPU infrastructure
Work with customers and stakeholders to define and refine infrastructure requirements needed to support their AI/ML workload
Work with infrastructure technical leaders to define infrastructure requirements to store, move, and manipulate large datasets
Guide performance teams on industry standard testing methodologies and help optimize for GPU fabric throughput
Identify security improvements and drive review discussions with internal teams
Working directly with individual engineering teams to deliver new infrastructure functions and technologies in support of customer s AI/ML products

Qualifications/Skills:

Experience delivering virtualized and/or bare metal GPU infrastructure
Understanding of AI/ML workloads and overall industry trends
Strong collaborator and consensus builder. Author and review design documentation.
Experience troubleshooting, analyzing, and debugging relevant virtualization stacks (kernel, KVM, QEMU)
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, including networking datapath, containers, and data persistence layers
A critical thinker dedicated to solving problems and delivering solutions

Technology Stack: Linux, LXC, Python, libvirt, KVM, QEMU, CEPH, VyOS, GPU network fabric

Software Tools: MAAS, Terraform, Chef, Elasticsearch, Git, Github Actions, GSuite, Jira, Slack, Victoria Metrics