Director of Data Center Design

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 Director of Data Center Design to join our team during an exciting phase of growth. In this role, you'll be responsible for defining and owning our global data center white space, shell, and critical infrastructure design standards to support next-generation AI/ML compute hardware, working closely with cross-functional partners across architecture, mechanical, and electrical engineering to accelerate hyperscale deployment while upholding our standards for excellence, collaboration, and impact.

 

What You’ll Do

• Define and own the global data center white space, shell, and critical infrastructure (CI) design standards to support next-generation AI/ML compute hardware, with a focus on power density (e.g., >50kW per rack).

• Lead the initial architecture and engineering phases for all purpose-built data center programs, ensuring designs meet hyperscale requirements for reliability (Tier III/IV), efficiency (low PUE), and accelerated deployment.

• Direct the selection and integration of advanced cooling topologies, including the strategic adoption of liquid-first and direct-to-chip cooling solutions.

• Manage and mentor a team of electrical, mechanical, and architectural design engineers, serving as the final technical authority on all DC engineering decisions.

• Drive continuous improvement in design processes, leveraging lessons learned from deployment and operations to reduce time-to-market and construction cost.

 

Who You Are

Required Qualifications

• B.S. or M.S. in Electrical, Mechanical, or Civil Engineering.

• 15+ years of progressive experience in data center design, critical infrastructure engineering, or facility engineering.

• 10+ years of leadership experience managing high-performing engineering teams.

• Expert knowledge of Uptime Institute Tier Standards, ASHRAE, and relevant building codes (NEC, IBC).

Preferred Qualifications

• Professional Engineer (P.E.) license.

• Experience designing and commissioning liquid cooling systems in a hyperscale environment.

• Deep familiarity with power distribution systems at the utility interface and medium/high voltage levels.

 

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 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.