d-Matrix

d-Matrix

Data Center & Lab Technician - AI Accelerator Infrastructure - Contract

Santa Clara · Full-time

Sponsorship not specifiedDetected 5 days ago
PythonBashAnsibleLinuxDevOpsSite Reliability EngineeringMachine LearningLLMsJiraHardware DesignCommunicationCollaboration

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.

Responsibilities

  • 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)
  • manage shipping, receiving, and RMA workflows.
  • 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.
  • Document all troubleshooting actions in the team's ticketing and knowledge base systems, contributing to runbooks that reduce repeat escalations.

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.
  • 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.
  • experience with DCIM or inventory tools and a track record of accurate, up-to-date records.
  • Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

Nice to have

  • 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.
  • 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.

Skills

  • Ready to come find your playground?
  • Data Center & Lab Technician - AI Accelerator Infrastructure - Contract
  • d-Matrix designs purpose-built AI inference silicon.

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.
  • d-Matrix is proud to be an equal opportunity workplace and affirmative action employer.

This listing is sourced directly from d-Matrix's careers page and normalized into a canonical job model.