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We are looking for a hands-on Infrastructure Engineer to join our team and support our high-performance, on-premise server and networking infrastructure. You will be responsible for maintaining, provisioning, and troubleshooting hardware and Linux systems, working closely with network and system teams. This is an in-person role, ideal for someone who enjoys working across hardware, networking, and system layers.
Job Responsibility:
Physically install, rack, cable, and maintain blade servers and hardware components (CPUs, DIMMs, NICs, storage devices, etc.)
Connect servers to high-speed networks (100G/400G), verify optics/DACs, and check link status
Configure BIOS, firmware, and out-of-band management (IPMI/iDRAC/iLO)
Install and provision Linux OS
configure hostnames, IPs, routing, and NFS mount points
Debug network issues at physical and OS level (VLAN, link issues, routing, etc.)
Use Linux tools (e.g., ip, dmesg, netstat, ping) to isolate and fix issues
Follow provisioning playbooks and maintain accurate records of assets and changes
Use scripting (Bash, Python) to automate routine tasks and improve efficiency
Collaborate with internal teams (network, systems, storage) and coordinate vendor RMAs
Document procedures and contribute to team knowledge base
Troubleshoot and replace failed server components with minimal downtime
Requirements:
3–5+ years of experience in data center, lab, or infrastructure engineering roles
Proficient in Linux system administration and network configuration
Strong hands-on knowledge of x86 server hardware and enterprise networking
Familiar with BIOS configuration, firmware updates, and remote management tools
Skilled in physical setup and troubleshooting of high-speed NICs and optical links
Experience with VLANs, static routing, and diagnosing layer 1–3 issues
Ability to write scripts for automation and diagnostics (Bash, Python preferred)
Comfortable working on-site daily and lifting/moving server hardware
Nice to have:
Experience with PXE, NFS, RAID controllers, and monitoring tools
Familiarity with configuration management tools (e.g., Ansible)
Prior experience in a lab or R&D hardware/software environment
What we offer:
Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs