STEM OPT Data Infrastructure Engineer Jobs
Data Infrastructure Engineer roles in cloud platforms, distributed systems, and data pipeline architecture qualify for the STEM OPT 24-month extension if your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify. With 36 months of total OPT work authorization, you have real runway to grow into senior engineering roles while pursuing H-1B visa sponsorship.
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Get Access To All JobsAbout Lucid
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
About The Team
The ADAS Data Infrastructure team builds and operates the foundational systems that power autonomous vehicle development. We create scalable platforms, services, and data pipelines that ingest, process, store, and serve large-scale sensor data from vehicle fleets to engineering teams across the company. We build the platforms and services that transform vehicle data into usable datasets for autonomous vehicle development.
The Role
We are looking for a software engineer to help build the data platform that supports autonomous vehicle development. You will design, develop, and operate high-scale data pipelines and backend services responsible for processing and managing large-scale sensor datasets, including camera, LiDAR, and vehicle telemetry data. This role is ideal for engineers who enjoy solving challenging distributed systems and data infrastructure problems, working across the full lifecycle from service development to production operations. You will collaborate closely with internal customers to deliver reliable, scalable, and efficient solutions that enable data-driven development of autonomous vehicle technologies.
Responsibilities
- Design, build, and maintain backend services and data pipelines for ingesting, processing, storing, and serving sensor datasets.
- Develop reliable and scalable systems using Python and AWS cloud services.
- Build APIs, data services, and tooling that enable efficient access to autonomous vehicle data.
- Improve platform reliability, observability, performance, and operational efficiency.
- Own production services and participate in troubleshooting, incident response, and root cause analysis.
- Collaborate cross-functionally with internal and external teams to understand requirements and deliver scalable solutions.
- Optimize storage, compute, and data movement costs while maintaining high performance and availability.
- Contribute to architecture discussions, code reviews, and engineering best practices.
- Support CI/CD, infrastructure automation, and operational excellence across the platform.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 3+ years of professional software engineering experience.
- Strong software development experience in Python.
- Experience building and operating backend services, distributed systems, or large-scale data platforms.
- Professional experience with AWS and deploying applications to Kubernetes clusters.
- Experience with Airflow or other workflow orchestrators.
- Experience designing data pipelines, ETL systems, or data processing frameworks.
- Experience developing containerized applications, backend microservices, and event-driven systems or data pipelines.
- Past experience in the Autonomous Driving or automotive industry, specifically backend and cloud development.
Preferred Qualifications
- Strong ownership mindset with the ability to drive projects from design through production operations.
- Experience building distributed systems or data platforms that process large-scale datasets in cloud environments.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
Compensation & Benefits:
Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
Equal Opportunity:
At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.
Accessibility:
Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.
Candidate Data Privacy:
By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.
To all recruitment agencies:
Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
About Lucid
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
About The Team
The ADAS Data Infrastructure team builds and operates the foundational systems that power autonomous vehicle development. We create scalable platforms, services, and data pipelines that ingest, process, store, and serve large-scale sensor data from vehicle fleets to engineering teams across the company. We build the platforms and services that transform vehicle data into usable datasets for autonomous vehicle development.
The Role
We are looking for a software engineer to help build the data platform that supports autonomous vehicle development. You will design, develop, and operate high-scale data pipelines and backend services responsible for processing and managing large-scale sensor datasets, including camera, LiDAR, and vehicle telemetry data. This role is ideal for engineers who enjoy solving challenging distributed systems and data infrastructure problems, working across the full lifecycle from service development to production operations. You will collaborate closely with internal customers to deliver reliable, scalable, and efficient solutions that enable data-driven development of autonomous vehicle technologies.
Responsibilities
- Design, build, and maintain backend services and data pipelines for ingesting, processing, storing, and serving sensor datasets.
- Develop reliable and scalable systems using Python and AWS cloud services.
- Build APIs, data services, and tooling that enable efficient access to autonomous vehicle data.
- Improve platform reliability, observability, performance, and operational efficiency.
- Own production services and participate in troubleshooting, incident response, and root cause analysis.
- Collaborate cross-functionally with internal and external teams to understand requirements and deliver scalable solutions.
- Optimize storage, compute, and data movement costs while maintaining high performance and availability.
- Contribute to architecture discussions, code reviews, and engineering best practices.
- Support CI/CD, infrastructure automation, and operational excellence across the platform.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 3+ years of professional software engineering experience.
- Strong software development experience in Python.
- Experience building and operating backend services, distributed systems, or large-scale data platforms.
- Professional experience with AWS and deploying applications to Kubernetes clusters.
- Experience with Airflow or other workflow orchestrators.
- Experience designing data pipelines, ETL systems, or data processing frameworks.
- Experience developing containerized applications, backend microservices, and event-driven systems or data pipelines.
- Past experience in the Autonomous Driving or automotive industry, specifically backend and cloud development.
Preferred Qualifications
- Strong ownership mindset with the ability to drive projects from design through production operations.
- Experience building distributed systems or data platforms that process large-scale datasets in cloud environments.
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
Compensation & Benefits:
Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
Equal Opportunity:
At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.
Accessibility:
Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.
Candidate Data Privacy:
By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.
To all recruitment agencies:
Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
See all 216+ STEM OPT Data Infrastructure Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Infrastructure Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Infrastructure Engineer
Verify your CIP code before applying
Check that your degree's CIP code maps to an eligible STEM field on the DHS STEM Designated Degree Program List. Computer science, information systems, and electrical engineering codes commonly support Data Infrastructure Engineer roles, but your DSO confirms the match before you file Form I-983.
Confirm E-Verify enrollment during interviews
Ask recruiters directly whether the company is enrolled in E-Verify before you accept an offer. If they're unsure, look up the employer in the E-Verify employer search tool. Hiring a STEM OPT student without E-Verify enrollment puts your status at risk.
Build your I-983 training plan around measurable engineering goals
Your I-983 must show a genuine learning relationship between your work and your STEM degree. For data infrastructure roles, document specific skills you'll develop, such as distributed query optimization or container orchestration, rather than listing generic job duties.
Use Migrate Mate to target employers with STEM OPT hiring history
Filter your job search on Migrate Mate to surface Data Infrastructure Engineer roles at companies that have actively hired STEM OPT students. This saves time over cold-applying to employers who haven't navigated the E-Verify and I-983 process before.
Understand cap-gap protection before your OPT expires
If your employer files an H-1B petition before your STEM OPT end date and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. USCIS grants this protection without any additional action on your part, so filing timing matters.
Benchmark your offer against OFLC prevailing-wage data
Run your job title and location through the OFLC Wage Search before negotiating. For data infrastructure roles, the wage level your employer selects on the LCA affects your H-1B petition later, so verify the offered salary meets at least Level I or Level II rates for your metro area.
Frequently Asked Questions
Does a Data Infrastructure Engineer role qualify for the STEM OPT extension?
It depends on your degree, not the job title alone. Your degree's CIP code must appear on the DHS STEM Designated Degree Program List. Computer science, computer engineering, information technology, and electrical engineering degrees commonly support this role. Your DSO reviews your academic transcript and confirms eligibility before endorsing your I-20 for the extension. The job itself must also provide practical training directly related to your STEM field.
What E-Verify requirement applies to my STEM OPT employer?
Every employer who hires you on a STEM OPT extension must be enrolled in E-Verify and remain enrolled for the duration of your authorization period. This is a federal requirement under the STEM OPT rule, not an optional step. If your employer loses E-Verify access or withdraws from the program after you start, you and your DSO must be notified within five business days, and your authorization is at risk.
What goes into the I-983 training plan for a data infrastructure role?
Your I-983 must describe specific technical skills you'll develop that connect to your STEM degree, not just your daily job duties. For a Data Infrastructure Engineer, this means naming technologies, learning objectives, and mentorship structures, such as designing fault-tolerant pipelines, implementing data lake architectures, or mastering infrastructure-as-code tools. Both you and your employer sign the form, and your DSO must endorse it before your extension begins.
How does cap-gap work if my STEM OPT is expiring during H-1B season?
If your employer files an H-1B petition on your behalf before your STEM OPT end date and USCIS selects you in the lottery, cap-gap protection automatically extends your work authorization through September 30 of that year. You don't file separately for cap-gap. If your petition isn't selected, your STEM OPT end date controls, so confirm your employer's filing timeline well before the April 1 registration window.
Where can I find Data Infrastructure Engineer jobs at employers that support STEM OPT?
Migrate Mate surfaces Data Infrastructure Engineer roles filtered for employers with active STEM OPT and E-Verify hiring history. This is more efficient than applying broadly and discovering after an offer that the employer isn't enrolled in E-Verify or hasn't navigated the I-983 process. You can also cross-reference O*NET to understand which skills and degree fields align with this occupation code when assessing whether a role supports your extension.