Contract Site Reliability Engineer — AI Accelerator Infrastructure
About The Position
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. d-Matrix designs purpose-built AI inference silicon. Our unified infrastructure team, SRE engineers, DevOps engineers, and data center & lab technicians own the physical and virtual layer that every engineering team depends on. As a DC & lab technician, you are the hands and feet of that team: racking servers, running cables, executing hardware bring-ups, and keeping lab environments in the precise, audit-ready state that high-velocity silicon and software development demands.
Requirements
- 3+ years in data center operations, hardware validation, or systems technician roles, hands-on with real servers.
- Proven rack-and-stack experience: physical server installation, PDU and patch panel cabling, rack power planning, and cable management to professional standards.
- Hardware bring-up experience: BIOS/UEFI configuration, firmware updates, component replacement, and OS installation across Linux distributions.
- Linux command-line proficiency: enough to run diagnostics, inspect logs, and execute runbooks independently.
- Asset management discipline: experience with DCIM or inventory tools and a track record of accurate, up-to-date records.
- Strong written communication: you document what you do, escalate with context, and write SOPs others can follow.
- Comfortable operating independently in a fast-moving startup environment.
Nice To Haves
- Prior colocation data center experience (Equinix, CoreSite, Digital Realty, or similar).
- Experience with AI/ML or GPU hardware: NVIDIA, AMD, or Intel accelerator cards in a lab or production environment.
- Basic Ansible exposure — able to run playbooks and understand what they do.
- Familiarity with high-speed interconnects: InfiniBand, RoCE, SFP/QSFP optics.
- Python or Bash scripting for operational task automation.
Responsibilities
- Rack, stack, cable, and decommission servers, PDUs, network gear, and storage in on-premises labs and colocation facilities.
- Execute hardware bring-up for d-Matrix AI-accelerated systems and validation test benches, including BIOS configuration, firmware validation, and OS installation (Linux primary).
- Replace and upgrade components: PCIe cards, NICs, storage, memory, and accelerator hardware across multiple server generations.
- Maintain lab spaces in organized, ESD-compliant, and audit-ready condition at all times.
- Own accurate asset tracking and inventory records using DCIM tools (NetBox, Jira, or equivalent); every piece of hardware is accounted for with the current configuration state.
- Coordinate equipment moves between lab, staging, and colocation; manage shipping, receiving, and RMA workflows.
- Track hardware lifecycle status: warranty, EOL, refresh schedules, and spare parts inventory.
- Diagnose and resolve hardware failures, power and thermal issues, and network connectivity problems — escalating to SRE engineers with clear documentation and reproduction steps.
- Serve as the first physical responder for infrastructure incidents requiring hands-on intervention in lab or colo environments.
- Document all troubleshooting actions in the team’s ticketing and knowledge base systems, contributing to runbooks that reduce repeat escalations.
- Write and maintain SOPs, rack diagrams, and cabling guides clear enough for a new technician to execute without shadowing.
- Communicate issues and status across hardware, software, SRE, and silicon validation teams professionally and with precision.
- Support parallel workstreams as silicon development programs evolve; operate independently when SREs are heads-down on engineering work.
Benefits
- Potential for full-time conversion
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What This Job Offers
Career Level
Entry Level
Education Level
No Education Listed
