Data Center & Lab Technician - AI Accelerator Infrastructure - Contract
Role Overview
This is a one-year contract with potential for a full-time conversion. This is an ownership role, not a ticket executor role. You operate independently, document what you build, and escalate with precision when something needs engineering attention.
Key Skills for This Role
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About the Role
This is a one-year contract with potential for a full-time conversion. This is an ownership role, not a ticket executor role. You operate independently, document what you build, and escalate with precision when something needs engineering attention.
Physical Infrastructure & Hardware Bring-Up
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.
Asset Management & Inventory
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.
Troubleshooting & Incident Support
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.
Documentation & Collaboration
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.
Minimum Qualifications
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.
Preferred Qualifications
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.
Why This Role
You will be a critical part of the infrastructure that powers d-Matrix’s AI hardware development programs. In a small, high-ownership team, your work is immediately visible; when you bring up a system cleanly, the engineers depending on it notice. If you take pride in physical infrastructure done right and want to work at the cutting edge of AI silicon development, this is the role for you.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
About D Matrix
d-Matrix develops digital in-memory computing chips designed to accelerate AI inference workloads, delivering high throughput and energy efficiency for data center deployments.
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