Electrical Engineer: AI Hardware
New Yesterday
About xAI 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
As an Electrical Engineer on the AI Hardware team at xAI's Memphis datacenters, you will play a critical role in designing, evaluating, and maintaining the electrical infrastructure that supports our high-performance AI computing systems. This role requires hands-on expertise in debugging complex electrical infrastructure issues to ensure reliability, safety, and scalability for mission-critical operations. You will collaborate with multidisciplinary teams, including hardware engineers, data center operations, and external vendors, to deliver robust solutions that align with xAI's ambitious goals.
Key Responsibilities
Infrastructure Design & Optimization : Contribute to the design and implementation of electrical systems, including power distribution units (PDUs), uninterruptible power supplies (UPS), transformers, switchgear, and backup generators, tailored for AI hardware workloads.
Debugging & Troubleshooting : Diagnose and resolve complex electrical infrastructure issues, minimizing downtime and ensuring continuous operation of AI hardware systems. Utilize analytical tools and methodologies to identify root causes of power anomalies, failures, or inefficiencies.
System Maintenance : Develop and execute maintenance schedules for electrical systems to maximize uptime and performance. Perform regular inspections and testing to ensure compliance with industry standards (e.g., Uptime Institute Tier Standards) and safety regulations.
Capacity Planning : Analyze current and projected power demands for AI hardware deployments, proposing scalable solutions to meet growing computational needs while optimizing energy efficiency.
Project Coordination : Support infrastructure projects from concept to commissioning, coordinating with internal teams and external contractors to meet project timelines and quality standards.
Collaboration & Innovation : Work closely with AI hardware engineers, data center technicians, and senior electrical engineers to integrate power systems with cutting-edge AI hardware. Contribute to a culture of continuous improvement by proposing innovative solutions for energy resilience and efficiency.
Compliance & Safety : Ensure all electrical systems and operations adhere to local, state, and federal regulations, as well as xAI's safety protocols, to maintain a secure working environment.
Basic Qualifications
Bachelor's degree in Electrical Engineering or a related field.
3+ years of experience in electrical engineering, with a focus on data center or high-performance computing environments.
Proven expertise in debugging and troubleshooting electrical infrastructure, including power distribution, backup systems, and cooling units.
Proficiency with tools such as AutoCAD, Revit, Bluebeam, or SKM for system design and analysis.
Strong understanding of data center electrical components (e.g., PDUs, UPS systems, generators, switchgear).
Familiarity with industry standards and safety regulations for electrical systems.
Excellent problem-solving skills and the ability to work in a fast-paced, mission-driven environment.
Preferred Qualifications
Experience working with electrical systems supporting AI hardware or high-performance computing (HPC) workloads.
Engineer in Training (EIT) certification or progress toward Professional Engineer (PE) licensure.
Knowledge of energy efficiency strategies and renewable energy integration for data centers.
Prior experience in project management or coordination for large-scale infrastructure projects.
Familiarity with AI-driven diagnostic tools or predictive maintenance technologies for electrical systems.
xAI is an equal opportunity employer.
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- Location:
- Memphis
- Category:
- Manufacturing