E-3 Visa Infrastructure Engineer Jobs
Infrastructure Engineer roles in the U.S. qualify as E-3 specialty occupations when tied to a bachelor's degree in computer science, information systems, or a related field. Australian professionals can secure sponsorship without competing in a lottery, making this one of the most direct paths into U.S. tech infrastructure teams.
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Get Access To All JobsAbout The Team
The team works on research and systems that advance frontier models. Our work often goes beyond standard training recipes, which means we also build the infrastructure needed to make new training approaches practical at scale. This is a team where systems work is directly tied to research progress: better tools, abstractions, and runtimes can unlock experiments that would otherwise be too slow, brittle, or difficult to express.
About The Role
This is a systems engineering role focused on ML training infrastructure. You will work on the systems layer that turns novel research ideas into runnable, measurable training workloads for large models. The work can sit on the critical path for model releases, bringing both the excitement of direct impact and the responsibility of building systems that remain reliable under real pressure.
In This Role, You Will
- Build and maintain infrastructure for large-scale model training and experimentation.
- Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.
- Improve reliability, debuggability, and performance across training and data pipelines.
- Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.
- Write tests, benchmarks, and diagnostics that catch meaningful regressions.
You Might Thrive In This Role If You
- You want to build systems that enable new model training approaches, not just optimize established ones.
- You have strong systems instincts and care deeply about performance, reliability, and clean abstractions.
- You have good taste in API and interface design, with empathy for the researchers and engineers using your tools.
- You are comfortable working across ML research code and production-quality infrastructure.
- You enjoy debugging from evidence: profiles, traces, logs, tests, and minimal reproductions.
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: $295K - $380K
About The Team
The team works on research and systems that advance frontier models. Our work often goes beyond standard training recipes, which means we also build the infrastructure needed to make new training approaches practical at scale. This is a team where systems work is directly tied to research progress: better tools, abstractions, and runtimes can unlock experiments that would otherwise be too slow, brittle, or difficult to express.
About The Role
This is a systems engineering role focused on ML training infrastructure. You will work on the systems layer that turns novel research ideas into runnable, measurable training workloads for large models. The work can sit on the critical path for model releases, bringing both the excitement of direct impact and the responsibility of building systems that remain reliable under real pressure.
In This Role, You Will
- Build and maintain infrastructure for large-scale model training and experimentation.
- Design APIs and interfaces that make complex training workflows easier to express and harder to misuse.
- Improve reliability, debuggability, and performance across training and data pipelines.
- Debug issues spanning Python, PyTorch, distributed systems, GPUs, networking, and storage.
- Write tests, benchmarks, and diagnostics that catch meaningful regressions.
You Might Thrive In This Role If You
- You want to build systems that enable new model training approaches, not just optimize established ones.
- You have strong systems instincts and care deeply about performance, reliability, and clean abstractions.
- You have good taste in API and interface design, with empathy for the researchers and engineers using your tools.
- You are comfortable working across ML research code and production-quality infrastructure.
- You enjoy debugging from evidence: profiles, traces, logs, tests, and minimal reproductions.
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: $295K - $380K
See all 324+ Infrastructure Engineer jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Infrastructure Engineer
Align your credentials to U.S. specialty occupation standards
Your Australian bachelor's degree qualifies, but your job title must map to a specific degree field. If your title is broad, ask your employer to frame the role around network architecture or systems engineering in the offer letter.
Target employers with active DOL LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for infrastructure-related job titles. Employers who've filed LCAs before understand the process and are far less likely to withdraw an offer over sponsorship concerns.
Get your skills assessment documented before interviews
Cloud certifications like AWS Solutions Architect or Azure Administrator give hiring managers a U.S.-recognizable benchmark for your experience. Have these documented and current before you reach the offer stage so there's no delay.
Clarify third-party worksite arrangements with your employer early
Infrastructure Engineers placed at client sites create LCA complications because the prevailing wage must reflect the physical work location, not the employer's headquarters. Confirm the work address before the LCA is filed to avoid a resubmission.
Use Migrate Mate's E-3 filing service once you have an offer
The LCA must be certified by DOL before you can attend your consulate appointment. Migrate Mate's E-3 filing service handles the LCA, DS-160, and consulate preparation end-to-end so you don't stall at the paperwork stage.
Book your consulate appointment before your start date is set
E-3 visa interviews are processed at U.S. consulates in Sydney, Melbourne, and Perth. Wait times fluctuate across locations, so check availability at all three and choose the earliest slot rather than defaulting to your nearest consulate.
Infrastructure Engineer jobs are hiring across the US. Find yours.
Find Infrastructure Engineer JobsInfrastructure Engineer E-3 Visa: Frequently Asked Questions
How do I find Infrastructure Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter by job title and see employers who have a history of supporting work visa filings. This saves time you'd otherwise spend cold-applying to roles where the hiring team has never heard of the E-3 visa.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an Infrastructure Engineer role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree in a specific technical field such as computer science, information technology, or systems engineering. Roles focused on cloud infrastructure, network architecture, or data center operations typically satisfy this standard. Generalist IT support roles that accept any degree field may not qualify, so the job description wording matters.
How does the E-3 compare to the H-1B for Infrastructure Engineer roles?
The H-1B requires you to enter a lottery with roughly one-in-four selection odds and wait up to a year before starting work. The E-3 has no lottery, no annual cap backlog, and can be filed any time of year. For Australian professionals, this means you can move from job offer to visa approval in weeks rather than waiting for a fiscal year cycle.
Can I change employers or move to a new infrastructure role while on E-3 status?
Yes, but each employer change requires a new LCA and, in most cases, a new visa stamp from a U.S. consulate. Your status doesn't automatically transfer. If you're already in the U.S. on E-3, you'll need to either return to Australia for a consulate appointment or explore whether a change of status filing is appropriate for your situation.
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