AI Hardware Systems Technician – Data Center & R&D (Onsite)

Tenstorrent; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation package

Benefits

Job summary

Tenstorrent is seeking hands-on hardware professionals to install, maintain, and troubleshoot servers, PCIe devices, and related systems in fast-paced R&D and data center environments. This onsite role supports engineering teams and bridges hardware, software, and IT across Toronto or Austin.

Candidates of various experience levels will be assessed; offers align with level. You will gain exposure to next-generation AI hardware platforms and contribute to reliable infrastructure powering compute

Qualifications

• Hands-on hardware professional who enjoys building, maintaining, and troubleshooting complex computing systems.
• Comfortable working in fast-paced R&D environments where hardware, firmware, and software are constantly evolving.
• Knowledgeable in computer architecture, operating systems, and hardware diagnostics, with strong problem-solving skills.
• Collaborative, detail-oriented, and motivated to improve processes through documentation, scripting, and automation.

Responsibilities

• Install, maintain, troubleshoot, and repair servers, workstations, PCIe devices, and related hardware systems that support engineering teams.
• Provide priority support to ensure critical infrastructure remains available and operational while maintaining accurate asset tracking and documentation.
• Partner closely with hardware engineers, software developers, IT, and site teams to resolve complex technical issues.
• Safely perform hardware installations and maintenance activities in engineering labs and data center environments.

Job description

Tenstorrent is seeking hands-on hardware professionals to install, maintain, and troubleshoot servers, PCIe devices, and related systems in fast-paced R&D and data center environments. This onsite role supports engineering teams and bridges hardware, software, and IT across Toronto or Austin.

Candidates of various experience levels will be assessed; offers align with level. You will gain exposure to next-generation AI hardware platforms and contribute to reliable infrastructure powering compute