Commissioning Engineer

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About The Role

xAI is seeking a skilled Commissioning Engineer to support the deployment and operation of our world-class datacenters in Memphis, Tennessee. In this role, you will be responsible for the commissioning of critical infrastructure systems, ensuring seamless integration and optimal performance for our AI supercomputing clusters. You will collaborate with cross-functional teams, including mechanical, electrical, and network engineers, to test, validate, and bring online high-density computing environments. The ideal candidate is detail-oriented, has a strong background in datacenter commissioning, and thrives in a fast-paced, innovative setting. This is an in-person role based in Memphis, Tennessee, and may require up to 10% travel.

Responsibilities

• Lead the planning, execution, and documentation of commissioning activities for datacenter systems, including electrical, mechanical, cooling, and fire suppression.
• Perform functional testing, system integration testing, and performance validation to ensure all equipment meets design specifications and operational requirements.
• Coordinate with vendors, contractors, and internal teams to resolve issues during commissioning phases and handover to operations.
• Develop and maintain commissioning plans, checklists, and reports, ensuring compliance with industry standards, safety regulations, and xAI's performance goals.
• Troubleshoot and debug complex systems, identifying root causes and implementing corrective actions to minimize downtime.
• Support the optimization of datacenter infrastructure for energy efficiency, reliability, and scalability in support of AI workloads.
• Conduct risk assessments and contribute to continuous improvement initiatives for future datacenter builds.

Basic Qualifications

Preferred Skills and Experience

Additional Requirements

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