Data Center Mechanical Engineer
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Role Overview
We’re looking for a Data Center Mechanical Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for leading the design, technical validation, and optimization of advanced thermal management systems , working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
Key Skills for This Role
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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 Mechanical Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for leading the design, technical validation, and optimization of advanced thermal management systems , working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You’ll Do
Lead the design review and technical validation of advanced thermal management systems for hyperscale data centers, with a specific focus on high-efficiency, liquid-first cooling topologies.
Design and model cooling infrastructure—including chillers, cooling towers, pumps, heat exchangers, and distribution piping—to handle the extreme heat loads from AI compute hardware.
Perform computational fluid dynamics (CFD) modeling to optimize airflow and liquid flow within the data center, ensuring thermal containment and efficiency.
Provide engineering guidance during the construction and commissioning process to ensure mechanical systems are installed and tuned for optimal performance (PUE/WUE).
Ensure all designs comply with ASHRAE, local building codes, and corporate sustainability standards.
Required Qualifications
- B.S. in Mechanical Engineering.
- 6+ years of experience in the design, construction, and commissioning of large-scale HVAC or critical cooling systems.
- Proven experience with water-side design, including fluid dynamics and pumping systems.
Preferred Qualifications
- Professional Engineer (P.E.) license or equivalent chartership.
- Direct experience with liquid-to-chip or rear-door heat exchanger (RDHX) cooling systems.
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.
About TensorWave
AMD-exclusive AI cloud provider serving teams with bare-metal GPU infrastructure for training, fine-tuning, and inference.
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