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Internship Data Center Infrastructure Engineer Jobs in California

$185K - $290K/yr

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of ... Data Center Facility Telemetry & Controls Management Engineer is a critical technical role ...

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Internship Data Center Infrastructure Engineer information

What does an internship data center infrastructure engineer do?

An Internship Data Center Infrastructure Engineer assists with the design, maintenance, and optimization of data center hardware and systems. Interns typically support senior engineers in tasks such as monitoring server performance, troubleshooting network issues, and ensuring the physical and logical security of data center assets. They may also help with documentation, equipment installation, and implementing best practices to maintain high availability and reliability. This role provides hands-on experience with the technologies and processes that keep modern data centers running efficiently.

What types of projects and responsibilities can an internship data center infrastructure engineer expect to work on during their internship?

As an Internship Data Center Infrastructure Engineer, you can expect to participate in a variety of hands-on projects, such as assisting with the installation and maintenance of server hardware, monitoring network performance, and supporting the implementation of cooling and power systems. You'll often work closely with senior engineers and IT teams to troubleshoot issues and optimize data center operations. Interns may also be involved in documenting configurations, conducting inventory audits, and learning about industry best practices for uptime and reliability. This role provides valuable exposure to both the technical and operational aspects of large-scale IT environments, offering a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an internship data center infrastructure engineer, and why are they important?

To thrive as an Internship Data Center Infrastructure Engineer, you need a solid understanding of networking fundamentals, hardware systems, and power/cooling concepts, typically supported by coursework in computer engineering or related fields. Familiarity with tools like network monitoring software, server management systems, and ticketing platforms is often required. Strong problem-solving, attention to detail, and effective teamwork help you stand out in this collaborative, technical environment. These skills and qualities are crucial for maintaining reliable data center operations and ensuring rapid issue resolution.

What is the difference between Internship Data Center Infrastructure Engineer vs Data Center Technician?

AspectInternship Data Center Infrastructure EngineerData Center Technician
Required CredentialsTypically pursuing or recent graduate in IT, Computer Engineering, or related fieldsHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentOffice and data center facilities, often with supervision and trainingData center floors, hardware setup, maintenance areas
Employer & Industry UsageInternship roles in tech companies, data center providers, or IT departmentsEntry-level technician roles in data centers across various industries

The Internship Data Center Infrastructure Engineer role is typically a training position for students or recent graduates focusing on infrastructure design and planning, while Data Center Technicians handle hardware installation, maintenance, and troubleshooting. The internship offers learning opportunities, whereas technicians perform hands-on operational tasks.

What are the most commonly searched types of Data Center Infrastructure Engineer jobs in California?

The most popular types of Data Center Infrastructure Engineer jobs in California are:

What are popular job titles related to Internship Data Center Infrastructure Engineer jobs in California?

For Internship Data Center Infrastructure Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Data Center Infrastructure Engineer jobs in California look for?

The top searched job categories for Internship Data Center Infrastructure Engineer jobs in California are:

What cities in California are hiring for Internship Data Center Infrastructure Engineer jobs?

Cities in California with the most Internship Data Center Infrastructure Engineer job openings:

Infographic showing various Internship Data Center Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Center Infrastructure Electrical Engineer

OpenAI

Los Angeles, CA • On-site

$257 - $327/hr

Other

Posted yesterday

New


Job description

Data Center Infrastructure Electrical Engineer

Datacenter Design - San Francisco

OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.

As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.

This role is best suited for a senior hands‑on engineer with deep experience in mission‑critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.

About the Role

We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid‑cooled AI data centers.

The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium‑voltage and low‑voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.

You should be comfortable moving between long‑range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.

Key Responsibilities
  • Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.
  • Review and develop basis‑of‑design documents, single‑line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.
  • Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.
  • Evaluate AC and DC power distribution options for high‑density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.
  • Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid‑cooled GPU rack deployments and reliable facility operation.
  • Drive FAT, SAT, witness testing, burn‑in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.
  • Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility‑to‑hardware interactions.
  • Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
  • Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack‑level failures to improve designs, procedures, vendor quality, and reliability models.
  • Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.
  • Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
  • Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.
Qualifications
  • 10+ years of electrical engineering experience in mission‑critical facilities such as data centers or comparable critical infrastructure.
  • Bachelor’s degree in electrical engineering, power systems, or a related discipline.
  • Strong hands‑on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
  • Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
  • Experience leading FWTs, FATs, SATs, integrated systems testing, failure‑mode testing, and root‑cause investigations.
  • Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
  • Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
  • Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non‑technical stakeholders.
  • Comfortable operating in fast‑moving environments with incomplete information and changing priorities.
Preferred Skills
  • 15+ years of relevant experience.
  • Advanced degree in electrical engineering, power systems, or a related discipline.
  • Professional Engineer license, Chartered Engineer status, or comparable professional certification.
  • Direct experience with hyperscale data centers, GPU clusters, high‑density rack deployments, or liquid‑cooled compute environments.
  • Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
  • Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
  • Experience with modular power systems, rack‑level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
  • Experience managing global, multi‑site deployment programs or manufacturing quality programs.
  • Familiarity with grid constraints, demand response, renewable integration, or low‑carbon infrastructure strategies.
Work Environment and Travel
  • This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
  • The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
  • Work may include time‑sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.
About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$257K – $327K + Offers Equity

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