Entry Level Data Infrastructure Engineer Jobs
New grad data infrastructure engineer jobs connect recent graduates and entry level candidates with 0 to 2 years of experience to their first professional role, where a strong portfolio or internship project often carries more weight than a lengthy resume. Most openings are on-site positions across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like Amazon, OpenAI, and HeyGen hiring at this level now.
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Showing 5 of 10+ Entry Level Data Infrastructure Engineer jobs
About The Team
OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted.
About The Role
We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models.
Key Responsibilities
- Help build, scale, and operate OpenAI’s global compute infrastructure.
- Solve complex problems across software, hardware, manufacturing supply chain, and data center systems.
- Improve the reliability, performance, efficiency, and scalability of critical infrastructure.
- Partner with cross-functional teams to bring new compute capacity online quickly and reliably.
- Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions.
- Build tools, processes, systems, or infrastructure that improve execution at scale.
- Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint.
Qualifications
- Have experience building, scaling, or operating complex technical systems.
- Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.
- Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.
- Have strong technical judgment and a bias toward execution.
- Care deeply about reliability, speed, safety, and operational excellence.
- Are excited by the challenge of building infrastructure at unprecedented scale.
- Want your work to directly support the development and deployment of frontier AI.
Preferred Skills
- Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.
- Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.
- Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.
- Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.
- Have experience operating in fast-moving environments where technical depth and execution speed both matter.
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.
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 Range: $230K - $490K
About The Team
OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted.
About The Role
We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models.
Key Responsibilities
- Help build, scale, and operate OpenAI’s global compute infrastructure.
- Solve complex problems across software, hardware, manufacturing supply chain, and data center systems.
- Improve the reliability, performance, efficiency, and scalability of critical infrastructure.
- Partner with cross-functional teams to bring new compute capacity online quickly and reliably.
- Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions.
- Build tools, processes, systems, or infrastructure that improve execution at scale.
- Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint.
Qualifications
- Have experience building, scaling, or operating complex technical systems.
- Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.
- Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.
- Have strong technical judgment and a bias toward execution.
- Care deeply about reliability, speed, safety, and operational excellence.
- Are excited by the challenge of building infrastructure at unprecedented scale.
- Want your work to directly support the development and deployment of frontier AI.
Preferred Skills
- Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.
- Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.
- Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.
- Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.
- Have experience operating in fast-moving environments where technical depth and execution speed both matter.
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.
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 Range: $230K - $490K
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Entry Level Data Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get an entry level data infrastructure engineer job?
Entry level data infrastructure engineer roles typically look for hands-on proof of skill over credential length. Build a portfolio with projects that show you can design or automate pipelines, work with tools like Terraform, Kubernetes, or Apache Kafka, and manage cloud infrastructure on AWS, GCP, or Azure. Internship experience, open-source contributions, and relevant certifications all strengthen a first application.
Which companies hire entry level data infrastructure engineers?
Companies hiring entry level data infrastructure engineers right now include Amazon, OpenAI, and HeyGen, based on current listings on Migrate Mate as of August 2026. Both large tech organizations and fast-growing startups regularly open junior positions at this level, especially those scaling their data platforms or modernizing legacy infrastructure.
Are there remote entry level data infrastructure engineer jobs?
Yes, though remote availability at the entry level is more limited than at senior levels. About 0% of entry level data infrastructure engineer openings are remote or hybrid as of August 2026, so candidates open to hybrid or on-site arrangements will have access to a broader set of opportunities.
Are these new grad data infrastructure engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior data infrastructure engineer roles. A posting is generally new-grad friendly when it welcomes 0 to 2 years of experience, counts internships or academic projects toward that threshold, or explicitly accepts a portfolio in place of prior full-time employment. Filtering for those signals helps narrow the list quickly.
Which industries hire the most entry level data infrastructure engineers?
Entry Level data infrastructure engineer roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. These sectors tend to drive junior hiring because they are actively building or scaling data platforms and need early-career engineers to support growing pipeline and cloud infrastructure workloads.