Green Card Data Infrastructure Engineer Jobs
Data Infrastructure Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Employers file PERM labor certification with DOL before petitioning USCIS, making infrastructure-focused engineering one of the more consistently sponsored specializations in U.S. tech hiring.
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Get Access To All JobsINTRODUCTION
At Ouster, we are pioneering the future of Physical AI. Our advanced vision algorithms and cutting-edge sensor hardware power the next generation of autonomous systems - from robots to smart infrastructure - building a safer and more efficient world.
The Sr. Data Infrastructure / Quality Engineering role will play a crucial part in architecting, building, and validating the cloud infrastructure and data loops that power our products for autonomy and physical AI customers from the ground up. You will build the foundation for scalable pipelines capable of handling the massive and chaotic nature of LiDAR data, along with multimodal field data ranging from raw multi-camera streams to GNSS/RTK, IMU, and vehicle odometry.
The Industrial Autonomy team is looking for a self-starter who can independently drive complex data systems from conception to completion with a high degree of autonomy, transforming raw, multi-sensor streams into robust, reproducible training datasets for our AI pipelines.
Responsibilities
- Design and develop robust cloud infrastructure, storage systems, and automated testing frameworks for AI training datasets and machine learning pipelines
- Own data infrastructure from concept through prototype architecture, data quality validation, and production-scale release
- Experience architecting and validating data lakehouse/warehouse systems, feature stores, and automated data governance frameworks to ensure data lineage, security, and reproducible training datasets
- Partner with SW and ML engineers to build and optimize sensor data ingestion, model/data/label versioning systems, cloud orchestration, and high-throughput pipeline architectures
- Develop automated data validation scripts, core ETL pipelines, infrastructure-as-code (IaC), and comprehensive regression testing suites
- Support pipeline deployments, continuous architectural iteration, and root cause analysis for data corruption, pipeline bottlenecks, or infrastructure failures
- Support data-tooling integration, automated data labeling workflows, and third-party vendor integration testing
- Contribute to pilot data deployments and field telemetry loops, incorporating learnings into future architectural designs
QUALIFICATIONS
- 8+ years of experience designing, building, and validating scalable cloud infrastructure and data pipelines
- Experience building and testing data systems to enterprise-grade standards capable of processing massive, unstructured datasets at a production scale
- Extensive knowledge of modern data infrastructure, cloud platforms, and data quality validation frameworks
- Experience ramping at least one core data platform from initial prototype to production release + supporting its long-term stability
PREFERRED EXPERIENCE
- Direct experience with autonomy, robotics, industrial equipment, or automotive data loops, specifically handling massive streams of multimodal vehicle telemetry and sensor data
- Experience building and validating active learning pipelines, continuous training infrastructure, and automated data curation systems
- Experience with data governance, safety-critical data validation frameworks, or compliance standards for autonomous systems
- Experience deploying and optimizing high-performance GPU cloud inference services, with specific expertise utilizing the NVIDIA architecture (e.g., Triton)
- Experience collaborating with data labeling services, including internal labeling, third-party labeling vendors, and integrating external annotation services
COMPENSATION
- The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($140,000 - $200,000)
We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role.
Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know.
INTRODUCTION
At Ouster, we are pioneering the future of Physical AI. Our advanced vision algorithms and cutting-edge sensor hardware power the next generation of autonomous systems - from robots to smart infrastructure - building a safer and more efficient world.
The Sr. Data Infrastructure / Quality Engineering role will play a crucial part in architecting, building, and validating the cloud infrastructure and data loops that power our products for autonomy and physical AI customers from the ground up. You will build the foundation for scalable pipelines capable of handling the massive and chaotic nature of LiDAR data, along with multimodal field data ranging from raw multi-camera streams to GNSS/RTK, IMU, and vehicle odometry.
The Industrial Autonomy team is looking for a self-starter who can independently drive complex data systems from conception to completion with a high degree of autonomy, transforming raw, multi-sensor streams into robust, reproducible training datasets for our AI pipelines.
Responsibilities
- Design and develop robust cloud infrastructure, storage systems, and automated testing frameworks for AI training datasets and machine learning pipelines
- Own data infrastructure from concept through prototype architecture, data quality validation, and production-scale release
- Experience architecting and validating data lakehouse/warehouse systems, feature stores, and automated data governance frameworks to ensure data lineage, security, and reproducible training datasets
- Partner with SW and ML engineers to build and optimize sensor data ingestion, model/data/label versioning systems, cloud orchestration, and high-throughput pipeline architectures
- Develop automated data validation scripts, core ETL pipelines, infrastructure-as-code (IaC), and comprehensive regression testing suites
- Support pipeline deployments, continuous architectural iteration, and root cause analysis for data corruption, pipeline bottlenecks, or infrastructure failures
- Support data-tooling integration, automated data labeling workflows, and third-party vendor integration testing
- Contribute to pilot data deployments and field telemetry loops, incorporating learnings into future architectural designs
QUALIFICATIONS
- 8+ years of experience designing, building, and validating scalable cloud infrastructure and data pipelines
- Experience building and testing data systems to enterprise-grade standards capable of processing massive, unstructured datasets at a production scale
- Extensive knowledge of modern data infrastructure, cloud platforms, and data quality validation frameworks
- Experience ramping at least one core data platform from initial prototype to production release + supporting its long-term stability
PREFERRED EXPERIENCE
- Direct experience with autonomy, robotics, industrial equipment, or automotive data loops, specifically handling massive streams of multimodal vehicle telemetry and sensor data
- Experience building and validating active learning pipelines, continuous training infrastructure, and automated data curation systems
- Experience with data governance, safety-critical data validation frameworks, or compliance standards for autonomous systems
- Experience deploying and optimizing high-performance GPU cloud inference services, with specific expertise utilizing the NVIDIA architecture (e.g., Triton)
- Experience collaborating with data labeling services, including internal labeling, third-party labeling vendors, and integrating external annotation services
COMPENSATION
- The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($140,000 - $200,000)
We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role.
Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Infrastructure Engineer
Document your infrastructure specialization before applying
PERM requires the employer to define a specific job requirement, not a general engineering role. Organize proof of your specialization in distributed systems, cloud infrastructure, or data pipelines so employers can accurately define the position around your credentials.
Target employers with active PERM filing history
Search the DOL OFLC disclosure data for data engineering job titles to identify employers who have filed PERM for infrastructure roles before. Past filings signal an existing sponsorship process rather than one you'd have to build from scratch.
Use Migrate Mate to filter roles by sponsorship status
Search Migrate Mate specifically for Data Infrastructure Engineer roles with green card sponsorship indicated. Filtering by sponsorship history saves you from applying to companies that only sponsor H-1B visa and have no PERM infrastructure in place.
Clarify EB-2 versus EB-3 eligibility with your prospective employer
EB-2 requires the role to genuinely need an advanced degree or its equivalent. If your employer posts the position as requiring only a bachelor's degree, you'll likely be filed under EB-3, which affects your priority date and wait time depending on your country of birth.
Understand how PERM recruitment affects your start date
PERM requires DOL-supervised recruitment before filing, which typically adds several months before your I-140 petition can be submitted. Factor this into offer negotiations so your H-1B or other status remains valid throughout the entire PERM and I-140 stage.
Verify your employer uses E-Verify before accepting an offer
E-Verify enrollment is a practical indicator of immigration compliance infrastructure. Employers already enrolled are more likely to have established relationships with immigration counsel and an internal process for managing PERM timelines for technical roles like yours.
Green Card Data Infrastructure Engineer: Frequently Asked Questions
Do Data Infrastructure Engineer roles qualify for EB-2 or EB-3 green card sponsorship?
Both categories apply depending on how the employer defines the role. EB-2 applies when the position genuinely requires an advanced degree or equivalent specialized experience. EB-3 covers roles requiring a bachelor's degree. Most data infrastructure positions are filed under EB-2 at larger tech employers, but EB-3 filings are common at mid-size companies where job descriptions specify a four-year degree.
How does green card sponsorship differ from H-1B for this role?
H-1B is a temporary status with a three-year initial period and annual cap exposure at registration. Green card sponsorship through PERM and I-140 targets permanent residency with no renewal cycle once approved. The PERM process is longer, typically 18 to 36 months from start to I-485 filing, but it removes annual cap risk entirely and gives you status portability once your I-140 is approved and your priority date is current.
What does the PERM process look like specifically for a Data Infrastructure Engineer?
Your employer files a labor condition application with DOL, conducts supervised recruitment to confirm no qualified U.S. workers are available, and then submits the PERM application. For technical roles like data infrastructure, the job description must clearly define the minimum requirements, including specific infrastructure technologies, so the prevailing wage determination from the OFLC Wage Search accurately reflects your specialty area.
How can I find Data Infrastructure Engineer jobs that already sponsor green cards?
Use Migrate Mate to search specifically for Data Infrastructure Engineer roles filtered by employment-based green card sponsorship history. Targeting employers with confirmed PERM filing activity for similar titles is far more efficient than applying broadly and asking about sponsorship during the interview process, where many hiring managers don't have visibility into their own company's immigration policies.
Can I switch employers after my green card process has started?
Once your I-140 is approved and has been pending for 180 days or more, federal law allows you to port your priority date to a new employer in a same or similar occupational classification. Data infrastructure and data engineering roles generally fall under the same SOC code structure, but your new employer will need to file a new I-140 and confirm the role qualifies for portability before you change jobs.