Data Center Mechanical Engineer

TensorWave, Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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

Skills & Technologies

Remote

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TensorWave, Inc.

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About TensorWave, Inc.

TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.

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