AI/ML Developer

*****NO C2C OR THIRD PARTY INQUIRIES*****

What You ll Be Doing:

Work with your fellow sharks 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

What We ll Expect From You:

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,