J-1 Visa Senior Data Center Engineer Jobs
Senior Data Center Engineer roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category, depending on your career stage. A designated sponsor organization issues your DS-2019, while the U.S. employer serves as your host site.
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Get Access To All JobsINTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams. This role is an individual contributor who will report to the Director of Autonomy Data Curation.
HOW YOU’LL MAKE AN IMPACT
- Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
- Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
- Improve dataset quality and repeatability: versioning, provenance, and automated checks.
- Apply privacy and security requirements in throughout our processes (access controls, retention, redaction/anonymization).
- Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.
BASIC QUALIFICATIONS
- 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
- Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
- Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
- Experience with data modeling, schema evolution, and dataset/version management.
- Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
- Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
PREFERRED QUALIFICATIONS
- Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
- Experience with labeling workflows, annotation tooling, and labeling QA at scale.
- Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
- Experience with vector/semantic search over media or telemetry.
- Experience building hard-mining evaluation loops for ML models.
WORKING STYLE
- Clarity foremost: written proposals, crisp interfaces, measurable outcomes.
- Pragmatic designs: build what’s needed, buy/borrow when it saves time, be judicious.
- Toolbelt-aware: use the right tools for the job, lean into finding ways to upskill yourself, and leverage generative AI coding and agentic workflows.
COMPENSATION
At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $240,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
- For some positions the pay may be dependent upon the individual's regional location.
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
INTRODUCTION
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
ABOUT THE ROLE
As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams. This role is an individual contributor who will report to the Director of Autonomy Data Curation.
HOW YOU’LL MAKE AN IMPACT
- Build and operate pipelines that transform raw autonomy logs & media into curated datasets with strong observability and clear ownership to make curated data more broadly reusable.
- Build tooling that makes data discovery and slicing fast and self-serve for Autonomy teams. For example: media search tooling and hard mining loops with infra for auto-routing data to annotation.
- Improve dataset quality and repeatability: versioning, provenance, and automated checks.
- Apply privacy and security requirements in throughout our processes (access controls, retention, redaction/anonymization).
- Build with a data-driven and impact-forward mindset with dashboards highlighting cost, dataset balance, and audit details.
BASIC QUALIFICATIONS
- 5+ years of professional software engineering experience (or equivalent), with significant ownership of production systems.
- Strong proficiency in programming, demonstrable in at least one of our most frequently used languages (Python/C++).
- Hands-on experience building data pipelines for large-scale datasets (ETL/ELT, streaming or batch, orchestration).
- Experience with data modeling, schema evolution, and dataset/version management.
- Solid understanding of reliability engineering: monitoring, incident response, backfills, and operational rigor.
- Ability to work across ambiguous interfaces (data + tooling + model consumers) and drive decisions.
PREFERRED QUALIFICATIONS
- Experience with autonomy/robotics data: flight logs, self-driving car data, sensor fusion traces, video, geospatial metadata.
- Experience with labeling workflows, annotation tooling, and labeling QA at scale.
- Familiarity with privacy concepts (PII handling, redaction, access control, audit logs).
- Experience with vector/semantic search over media or telemetry.
- Experience building hard-mining evaluation loops for ML models.
WORKING STYLE
- Clarity foremost: written proposals, crisp interfaces, measurable outcomes.
- Pragmatic designs: build what’s needed, buy/borrow when it saves time, be judicious.
- Toolbelt-aware: use the right tools for the job, lean into finding ways to upskill yourself, and leverage generative AI coding and agentic workflows.
COMPENSATION
At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - $240,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
- For some positions the pay may be dependent upon the individual's regional location.
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Senior Data Center Engineer
Align your credentials to J-1 category requirements
The Trainee category requires a degree plus one year of experience, or five years of field experience without a degree. Document your data center certifications, such as CDCP or DCCA, and employment history before approaching any designated sponsor.
Target host employers with dedicated infrastructure teams
Colocation providers, hyperscale cloud operators, and enterprise IT departments routinely file training plans for J-1 Trainees. Search Migrate Mate to filter for Senior Data Center Engineer roles at U.S. employers already familiar with J-1 host obligations.
Request a formal training plan from the host employer
Your designated sponsor requires a completed DS-7002 Training/Internship Placement Plan before issuing a DS-2019. Push the host employer to specify objectives by phase, measurable skills, and supervision details covering your entire program duration.
Check the 2-year home residency requirement early
Trainee and Research Scholar participants funded by a home-country government or whose role appears on the Exchange Visitor Skills List may owe a two-year home-country residency. Confirm your status with the designated sponsor before accepting an offer.
Verify the host employer's E-Verify enrollment status
Many designated sponsors require host organizations to be enrolled in E-Verify as a condition of the training placement agreement. Ask the recruiter directly and confirm before your DS-2019 is issued to avoid delays at the compliance stage.
Use OFLC Wage Search to benchmark your offer
J-1 Trainees must receive pay commensurate with U.S. workers in the same role and location. Run the OFLC Wage Search for SOC code 15-1244 before you sign an offer letter so you can flag any shortfall to the host employer.
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Find Senior Data Center Engineer JobsSenior Data Center Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Senior Data Center Engineer?
Most Senior Data Center Engineers use the Trainee category, which covers professionals with a relevant degree plus at least one year of experience, or five or more years of work experience in lieu of a degree. The Research Scholar category applies if your role is based at a university or research institute and involves experimental or applied infrastructure research rather than commercial operations.
Who actually sponsors the J-1 visa for this role, the employer or a third party?
The visa sponsor is always a U.S. Department of State-designated organization, not the hiring employer. Organizations such as CIEE, Cultural Vistas, or AIPT review your training plan, issue the DS-2019 form, and monitor your program compliance. The U.S. data center or technology company where you work is your host organization, not your visa sponsor, even if they initiated your placement.
How do I find U.S. employers open to hosting a J-1 Senior Data Center Engineer?
Use Migrate Mate to search for Senior Data Center Engineer positions at U.S. employers familiar with J-1 host requirements. Not every employer knows how to structure a DS-7002 training plan for infrastructure roles, so targeting companies with prior international program experience saves significant back-and-forth during the offer stage.
What does the DS-7002 training plan need to include for a data center role?
The DS-7002 must outline measurable learning objectives tied to specific data center competencies, such as power management, cooling systems, network provisioning, or incident response. Each phase needs a defined duration, the supervision method, and the skills the host employer will evaluate. Generic job descriptions are rejected by most designated sponsors, so the plan should reflect your actual day-to-day responsibilities.
Does the 2-year home residency requirement apply to data center engineers?
It depends on your funding source and your home country's Exchange Visitor Skills List status. If your home-country government or a U.S. government program funds your exchange, or if your occupation appears on the Skills List for your country, you are subject to the two-year requirement under INA Section 212(e). Confirm this with your designated sponsor before you accept a host employer's offer, because it affects any future H-1B or immigrant visa plans.
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