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Stargate Ai Jobs (NOW HIRING)

WI · On-site

$140 - $210/hr

The Stargate Norway project is a flagship hyperscale development and represents one of Europe's most advanced AI infrastructure builds. Role Overview Nscale is seeking a HSE Site Lead (KU) to lead ...

CPU Storage Tech Lead

Seattle, WA · On-site

$257K - $327K/yr

About the Team The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense ...

About the Team The Stargate organization is responsible for building and scaling the physical infrastructure systems that power OpenAI's next generation of AI training and inference platforms. This ...

Facilities Operations Manager

Seattle, WA · On-site +1

$159K - $240K/yr

Through Stargate, we are developing and operating large-scale AI compute campuses that require world-class execution across data center design, construction, commissioning, and operations. The ...

... AI infrastructure provider, Crusoe operates at a scale that few companies can match, including a 1.2 GW hyperscale campus in Abilene, TX powering the Stargate project. This is a high-impact senior ...

... AI infrastructure provider, Crusoe operates at a scale that few companies can match, including a 1.2 GW hyperscale campus in Abilene, TX powering the Stargate project. This is a high-impact senior ...

... AI infrastructure provider, Crusoe operates at a scale that few companies can match, including a 1.2 GW hyperscale campus in Abilene, TX powering the Stargate project. This is a high-impact ...

... AI infrastructure provider, Crusoe operates at a scale that few companies can match, including a 1.2 GW hyperscale campus in Abilene, TX powering the Stargate project. This is a high-impact senior ...

Our Industrial Compute organization develops and deploys large-scale AI campuses designed to ... future Stargate campuses. * Mentor on-site technicians and partner teams on advanced ...

As Stargate grows and new sites come online, the demand for analytics support continues to expand ... AI is an extremely powerful tool that must be created with safety and human needs at its core, and ...

Stargate Ai information

See salary details

$35K

$80.3K

$114.5K

How much do stargate ai jobs pay per year?

As of Aug 12, 2026, the average yearly pay for stargate ai in the United States is $80,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is Stargate AI?

Stargate AI refers to an artificial intelligence system developed to analyze, generate, or interact with content related to the Stargate science fiction franchise. This AI may be used for tasks such as scriptwriting, character dialogue generation, or assisting fans with franchise-related questions. It leverages machine learning and natural language processing to understand and create content that aligns with the themes and style of Stargate. Such systems are often trained on existing show scripts, lore, and fan discussions to provide accurate and authentic responses.

What is the difference between Stargate Ai vs Data Analyst?

AspectStargate AiData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; proficiency in AI toolsDegree in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsagePrimarily in AI and machine learning industriesAcross various industries for data-driven decision making

Stargate Ai focuses on developing and implementing AI solutions, often requiring advanced programming and machine learning skills. Data Analysts interpret data to inform business decisions, typically working with statistical tools. While both roles involve data, Stargate Ai is more specialized in AI development, whereas Data Analysts focus on data interpretation and reporting.

What jobs will Stargate Ai create?

Stargate Ai is expected to create jobs related to artificial intelligence development, data analysis, machine learning engineering, and AI system maintenance. These roles typically require skills in programming, data science, and familiarity with AI tools and frameworks. The company may also generate opportunities in research, project management, and technical support within the AI industry.

What are the key skills and qualifications needed to thrive as an AI engineer?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, often supported by a degree in a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and cloud platforms is typically required. Problem-solving, creativity, and effective communication distinguish top performers in this role. These skills are crucial for designing, developing, and deploying AI solutions that effectively address real-world challenges.

What are some common challenges faced by AI engineers working on Stargate AI projects, and how can they be addressed?

AI Engineers working on Stargate AI projects often encounter challenges such as integrating complex machine learning models with existing infrastructure, ensuring data quality for training, and maintaining scalability as project demands grow. Collaboration with cross-functional teams—such as data scientists, DevOps, and product managers—is essential to address these challenges effectively. Staying up to date with the latest advancements in AI and maintaining strong communication within the team can help resolve issues quickly and drive project success.
More about Stargate Ai jobs
What cities are hiring for Stargate Ai jobs? Cities with the most Stargate Ai job openings:
What states have the most Stargate Ai jobs? States with the most job openings for Stargate Ai jobs include:
Infographic showing various Stargate Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $80,304 per year, or $38.6 per hour.

Datacenter Networking Technician, AI Compute Deployment - Stargate

OpenAI

San Francisco, CA • On-site

$157K - $221K/yr

Full-time

Re-posted 21 days ago


Job description

About the Team:
OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world's most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today-and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality.
About the Role:
We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments.
Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations.
Candidates must be able to sit onsite in Abilene, Texas 5 days per week
Key Responsibilities
  • Serve as OpenAI's technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.
  • Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.
  • Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.
  • Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.
  • Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses
  • Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

Qualifications
  • Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation.
  • Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices.
  • Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues.
  • Adapt quickly to changing build conditions and enjoy learning emerging networking technologies.
  • Communicate clearly with construction, engineering, and operations teams to drive projects to completion.
  • Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects.

Preferred Skills
  • Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation.
  • Experience with hyperscale Clos fabrics or large-scale network design.
  • Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting.
  • Industry certifications such as BICSI, CCNA/CCNP, or equivalent.

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.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
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.
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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.