Data Center Technician - Future Opportunities

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

We’re looking for a Data Center Technician to join our team during an exciting phase of growth. In this role, you’ll be responsible for setting up new equipment used by our amazing customers to deploy the most advanced workloads on the planet, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

This is an evergreen requisition. We review applications on a rolling basis and will consider you for current openings across all of our sites, as well as future opportunities as we continue to scale.

What You’ll Do

• Installation, configuration, and testing up of new data center infrastructure

• Perform maintenance and upgrades ensuring high reliability and performance standards

• Monitor system performance, troubleshoot issues, and implement solutions to maintain and enhance data center operations

• Coordinate with local and remote teams to ensure smooth operations and timely completion of projects

• Maintain meticulous records of installations, maintenance, and repairs, adhering to TensorWave's standards and protocols

• Ensure compliance with safety, quality, and data center management best practices during all on-site activities

• Provide on-site technical support and guidance during critical incidents or outages as part of an on-call rotation

Who You Are

Required Qualifications

• 2+ years of experience in data center operations, with direct experience in hardware installation, maintenance, and troubleshooting.

• Strong understanding of data center infrastructure, including networking, servers, and storage systems.

• Excellent problem-solving skills, with the ability to work independently in a fast-paced and dynamic environment.

• Effective communication and collaboration skills, with a commitment to working as part of a national operations team.

• Willingness and ability to travel as needed

Preferred Qualifications

• Bachelor’s degree in a technical field

• Relevant technical certifications (e.g., CompTIA, Cisco)

• Experience with GPUs

• Experience with liquid cooling

What We Offer

• Stock Options

• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees

• Life and Voluntary Supplemental Insurance Options

• Other Insurance Options, such as Pet & Legal Insurance

• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO

• Paid Holidays

• Parental Leave

• Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.