Senior Mechanical Engineer, Data Centers - Remote; U.S

Senior Mechanical Engineer, Data Centers
- Remote (U.S.)

• Full-time
• Business Group: DCS
• Legal Entity: AECOM Technical Services Inc
• Business Line: B&P
  - Buildings & Places
• Work Location Model:
  Remote
• Primary
  
  Location:
  
  US
  - Arlington, VA - 3101 Wilson Blv
• Compensation: USD 170,000 - USD 200,000 - yearly

AECOM is seeking to hire a highly skilled Senior Mechanical Engineer for the Data Center and Mission Critical team. The ideal candidate for this position should be familiar with the tech sector, mission critical and data center industry, understanding the requirements of scale, speed, and consistency in data centers.

This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US where AECOM has an office.

Although the position is primarily remote, periodic travel may be required for client meetings, key project milestones, onsite collaboration sessions, or other business‑critical activities. Travel is expected to be occasional and scheduled in advance.

In this role, you will have the opportunity to work with our teams around the world on high‑profile, fast‑paced data center projects for global clients. This is a hands‑on, client‑facing role with an opportunity for upward career mobility.

Responsibilities, required experience, and qualifications are summarized below:

Data Center Heat Rejection and HVAC System Design: Developing and designing Heat Rejection and HVAC systems specifically tailored for data centers, considering factors such as type of cooling requirement as air cooled or direct fluid cooled, associated cooling loads, future flexibility of the system to accommodate variable heat distribution scenarios, phased construction and operation, airflow management, humidity control, system redundancy providing concurrent maintainability, energy efficiency, and compliance with industry standards and best practices.

Cooling System Selection: Selecting appropriate air/water side cooling systems for data centers, including Fan wall units, computer room air handlers (CRAHs), chilled water systems, DX systems and CRAC units, in-row cooling, and containment solutions, based on the specific cooling requirements of the data center and the criticality of the equipment.

Computational Fluid Dynamics (CFD) Analysis: Conducting internal CFD simulations to optimize airflow distribution, transient period analysis, identify hotspots, and ensure efficient cooling throughout the data center. Conducting external CFD on individual buildings and/or campus‑wide to simulate effects of different electrical and mechanical components on each other and effects on design day selection criteria capacity of each component. For both types, prepare and/or direct preparation of models and analyze the results to recommend design modifications and optimize the Heat rejection and HVAC system performance.

Coordinate the required changes and resulting effects with other trades on project.

Redundancy and Fault Tolerance: Designing HVAC systems with redundancy and fault‑tolerant features to ensure continuous operation of the data center in the event of equipment failure or maintenance activities. This includes the design of backup cooling systems, automatic switchover mechanisms, and monitoring systems.

Heat Load Calculation and Capacity Planning: Performing heat load calculations for data centers to determine the cooling requirements based on the IT equipment, power density, anticipated growth, and phasing of the construction and operational steps. Conducting capacity planning to ensure the HVAC system can accommodate future expansions and upgrades. Performing HVAC loads for admin and common sections of the facility.

Energy Efficiency and Sustainability: Implementing energy‑efficient HVAC design strategies, such as utilizing economizers, variable speed drives, energy recovery systems, and optimizing airflow management techniques, to minimize energy consumption and support sustainability initiatives.

Air Quality and Filtration: Ensuring the data center's air quality is maintained at optimal levels by designing appropriate filtration systems and implementing air quality monitoring mechanisms.…