Site Reliability Engineer Intern Jobs in Nevada (NOW HIRING)

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

TensorWave is seeking an experienced Technical Program Manager with a strong data center operations background to lead and scale the operational programs that keep our next-generation AI infrastructure running at peak performance.

In this role, you’ll own the full lifecycle of data center operations programs: from hardware deployment and capacity management through incident response, change management, and continuous reliability improvement. You’ll be the operational spine connecting facilities engineers, network, hardware, DevOps, and SRE teams, and executive leadership to ensure our AMD-powered AI clusters deliver on customer commitments at scale, with zero tolerance for preventable downtime.

This is a high-visibility, high-impact role for someone who brings operational discipline to complex, fast-moving environments and maintains clear communication and structured execution under pressure.

What You’ll Do

• Own end-to-end program management for data center operations across multiple sites, covering hardware lifecycle, capacity planning, change management, incident response, and operational readiness

• Serve as the primary coordination point across facilities, networking, hardware, and software teams: driving accountability to operational SLAs, program schedules, and customer commitments

• Define and track program milestones, critical path dependencies, and resource requirements across concurrent multi-site operational programs

• Translate operational status and risk into clear reporting for engineering, product, and executive leadership audiences

• Identify, escalate, and mitigate risks to site reliability, capacity availability, and customer-facing uptime before they become incidents

• Coordinate hardware deployment, node lifecycle, and maintenance sequencing across sites in alignment with capacity and customer commitments

• Partner with network, power, facilities, and infrastructure engineering teams to drive operational readiness for high-density GPU compute clusters

• Own post-incident retrospectives and corrective action tracking, driving lessons learned into durable process improvements

• Maintain program documentation including operational runbooks, risk registers, vendor trackers, capacity plans, and change management records

Who You Are

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical/Mechanical Engineering, Information Technology (or a related technical field or equivalent practical experience)

• 5+ years of technical program management experience, with at least 3 years directly managing data center operations, infrastructure programs, or critical facilities at scale

• Demonstrated experience coordinating across facilities, network, and hardware engineering teams in a live production environment

• Familiarity with data center operational systems and infrastructure: power distribution, cooling, structured cabling, and physical layer dependencies

• Proven track record managing complex, multi-site operational programs on compressed timelines in a high-growth environment

• Strong technical communication skills: able to translate operational status and risk to both field teams and executive stakeholders

• Experience with Jira or equivalent program management tooling for milestone tracking, incident management, and cross-team coordination

Preferred Qualifications

• Experience with high-density GPU or AI compute deployments and their operational demands

• Background managing colocation or multi-tenant infrastructure environments

• Familiarity with network infrastructure in data center environments: top-of-rack switching, structured fiber, spine-leaf topology

• Experience with observability tooling (Grafana, Prometheus, or equivalent) for operational visibility

• Prior experience at a hyperscaler, cloud provider, or high-growth AI infrastructure company

• PMP or equivalent project management certification

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.