Sr Infrastrucuture Engineer(GPU)

 

- Problem Solving and Deep-Level Troubleshooting: Investigating and troubleshooting problems and hardware faults that our automation can''''t determine within our GPU platforms. This will involve taking data from system logs, kernel logs, BMC redfish APIs, and if the data is not there, working with hardware and kernel engineers to add information you need to make accurate determinations.
- Coordination and Collaboration: Working closely with our Data Centre Operations, Hardware Engineering and Capacity Planning teams to repair and remediate failed hardware, ensure consistent delivery of new hardware to customers, and roll out new upgrades across the fleet
- Automation and Tool Development: Automate routine processes and build hardware diagnostics, provisioning and repair tooling
Build Processes and Documentation: When you figure out the best way to do something, you''''ll be working on building processes, documentation and tooling to help the next person who finds this problem
- Validate and Test new hardware: Client is often the first company in the world to get the latest generation AI hardware, before it''''s fully tested. Conducting rigorous testing and validation on such cutting-edge hardware and servers that comes back from repair
- On-Call: Participate in our on-call rotation, partnering with our US teams to provide follow-the-sun coverage
What You''''ll Bring to the Team:
Strong analytical, troubleshooting and problem-solving skills: Our automation takes care of the easy problems, you''''ll be digging deep to figure out the hard ones
Linux experience: You''''ll have solid unAbout the Rolederstanding of Linux internals and feel at home working in a terminal
Server Hardware and Provisioning: Exposure to server-class hardware & provisioning
Fundamentals of Hardware and Networking: You don''''t need to be an expert, but you should know if an error message is due to a failed hardware component, a firmware bug, or a networking misconfiguration without escalating
Excellent communication and collaboration skills: You''''ll be working with many different people across a lot of different teams - communication is critical
Education: Bachelor''''s Degree in Computer Science, related field, or self-educated in computer science fundamentals.
Bonus Points
Large-scale GPU operations: We work with cutting edge hardware and software, so we understand most people won''''t have worked with it - but it would be nice if you have!
Programming Proficiency: Proficiency with at least one programming language (Python, Go, or similar)