Overview
Remote
Hybrid
Accepts corp to corp applications
Contract - W2
Contract - 12+ month(s)
Skills
Linux
GPU
Bare Metal
Job Details
Job Title: Sr. Bare Metal Linux Engineer (GPU Bare Metal)
Location: Remote
Duration: 12+ months
Required Key Skills: Bare Metal, Open-Source Virtualization (QEMU/KVM etc.), Linux/Unix, Automation/Orchestration (Puppet/Chef/Ansible etc.), DevOps, AI/ML
We need engineers skilled in multiple areas here to support both GPU Bare Metal and GPU VM products. We also need engineers skilled in AI/ML DevOps and Linux Sysadmins.
GPU Bare Metal
Required Skills
- Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE environments.
- Deep Linux systems experience including troubleshooting network interfaces, developing and applying configuration management, security best practices and monitoring and alerting.
- Strong automation mindset. Expert knowledge in 1 or more orchestration tools such as MaaS, Salt, Chef, Ansible or Puppet.
- Strong communication skills. Your job will involve writing detailed documentation for others to pick up or leading knowledge sharing sessions with operations teams.
- Bonus skills include:
- Hands-on experience in High Performance Computing (HPC) clustered environments from Nvidia or AMD. Experience in performing automated wide scale testing on NCCL or other frameworks.
- Network engineering experience with VyOS platforms.
What You'll Be Working On:
- Provisioning and automating GPU Bare Metal deployments
- DevOps - Assist customer support and CloudOps teams with GPU specific knowledge/debugging during customer escalations
- Performance testing, analysis and monitoring
- Firmware, BIOS, Kernel upgrades and testing
GPU Virtual Machines
Required Skills
- Strong understanding of Linux based operating systems
- Deep experience with the internals of QEMU, KVM, Linux kernel and libvirt. Strong proficiency in C.
- Strong knowledge of DO's proprietary services and how they intersect with our virtualization stack.
What You'll Be Working On:
- Accelerate the virtualization of next generation GPU enabled platforms that power AI/ML workloads.
- Work with hardware engineering teams and vendors to validate GPU fabric performance. Optimize performance while maintaining DO's high security standards.
- Collaborate with open-source Linux, QEMU and libvirt communities to drive the evolution of Linux virtualization technologies and incorporate them into the DO fleet.
- Backport, build, and deploy software patches in order to support new features, backport bug fixes, and resolve security issues.
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