STEM OPT Data Engineering Intern Jobs
Data Engineering Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, information technology, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build hands-on pipeline and infrastructure experience while maintaining F-1 status.
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Get Access To All JobsJob Number: P25INT-44
Honda Research Institute USA (HRI-US) is seeking a highly motivated intern to develop Bird's-Eye-View (BEV) perception algorithms for semantic reconstruction of road geometry in autonomous driving systems. This role focuses on building next-generation large-scale vectorized HD mapping models that transform raw sensor data into structured, map-level representations of the environment. You will work closely with a multidisciplinary team of researchers and engineers at the intersection of computer vision, deep learning, and autonomous systems. The internship will involve designing, implementing, and evaluating state-of-the-art neural architectures for extracting vectorized representations of road layouts, lane topology, and scene structure from visual inputs.
Location: San Jose, CA
Key Responsibilities
- Design and develop Learning-based Bird's-Eye-View Perception Algorithms, specifically, 3D Road Geometry Reconstruction as Vector Maps and Road Topology Estimation from Vision.
- Create and maintain datasets for training the network.
- Develop evaluation metrics to confirm the efficacy of proposed algorithms.
Minimum Qualifications
- Currently pursuing a Ph.D. or M.S. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Strong background in computer vision and deep learning.
- Familiarity with Bird's-Eye-View (BEV) perception methods and relevant literature.
- Understanding of state-of-the-art vision and learning techniques (e.g., transformers, CNNs, multi-view geometry).
- Strong programming skills in Python and/or C++, with the ability to translate research ideas into working systems.
- Experience with deep learning frameworks such as PyTorch and/or TensorFlow.
Bonus Qualifications
- Publications in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, or IROS.
- Hands-on experience with Vectorized HD mapping or autonomous driving datasets (e.g., nuScenes, Waymo, Argoverse); Model optimization and deployment for real-time or edge systems; and 3D perception, multi-view geometry, or sensor fusion.
- Experience improving model efficiency (e.g., pruning, quantization, TensorRT).
Years of Work Experience Required 0
Desired Start Date 8/31/2026
Internship Duration 3 Months
Position Keywords Computer Vision, Autonomous Driving, HD Mapping
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Job Number: P25INT-44
Honda Research Institute USA (HRI-US) is seeking a highly motivated intern to develop Bird's-Eye-View (BEV) perception algorithms for semantic reconstruction of road geometry in autonomous driving systems. This role focuses on building next-generation large-scale vectorized HD mapping models that transform raw sensor data into structured, map-level representations of the environment. You will work closely with a multidisciplinary team of researchers and engineers at the intersection of computer vision, deep learning, and autonomous systems. The internship will involve designing, implementing, and evaluating state-of-the-art neural architectures for extracting vectorized representations of road layouts, lane topology, and scene structure from visual inputs.
Location: San Jose, CA
Key Responsibilities
- Design and develop Learning-based Bird's-Eye-View Perception Algorithms, specifically, 3D Road Geometry Reconstruction as Vector Maps and Road Topology Estimation from Vision.
- Create and maintain datasets for training the network.
- Develop evaluation metrics to confirm the efficacy of proposed algorithms.
Minimum Qualifications
- Currently pursuing a Ph.D. or M.S. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Strong background in computer vision and deep learning.
- Familiarity with Bird's-Eye-View (BEV) perception methods and relevant literature.
- Understanding of state-of-the-art vision and learning techniques (e.g., transformers, CNNs, multi-view geometry).
- Strong programming skills in Python and/or C++, with the ability to translate research ideas into working systems.
- Experience with deep learning frameworks such as PyTorch and/or TensorFlow.
Bonus Qualifications
- Publications in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, or IROS.
- Hands-on experience with Vectorized HD mapping or autonomous driving datasets (e.g., nuScenes, Waymo, Argoverse); Model optimization and deployment for real-time or edge systems; and 3D perception, multi-view geometry, or sensor fusion.
- Experience improving model efficiency (e.g., pruning, quantization, TensorRT).
Years of Work Experience Required 0
Desired Start Date 8/31/2026
Internship Duration 3 Months
Position Keywords Computer Vision, Autonomous Driving, HD Mapping
Warning: You do not have the permission to access the upload fields on this form. Contact the form owner or portal administrator to request the access.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Engineering Intern
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program list. Data engineering roles most often align with computer science, information systems, or electrical engineering codes, and a mismatch disqualifies your extension before you even start.
Screen job postings for E-Verify enrollment
Before submitting any application, confirm the employer is enrolled in E-Verify through the official E-Verify employer search. Internship postings rarely flag this upfront, so checking early saves you from accepting an offer that can't support your STEM OPT extension.
Build a portfolio around data pipeline projects
Hiring managers for data engineering intern roles expect evidence of ETL workflow design, SQL query optimization, or cloud data stack experience. A public GitHub repository with documented pipeline projects gives recruiters a concrete reason to move you forward over candidates with identical coursework.
Request the I-983 training plan before your start date
Your employer must complete and sign the I-983 before your STEM OPT extension begins. Ask your hiring manager or HR contact to initiate the training plan during onboarding so your DSO can submit the I-20 update to USCIS without delays that could gap your work authorization.
Use Migrate Mate to find E-Verify employers hiring interns
Filter your data engineering intern search on Migrate Mate to surface employers already enrolled in E-Verify and with OPT hiring history. This cuts the time you'd otherwise spend manually researching sponsorship eligibility company by company across general job boards.
Align your application timeline with your OPT end date
File your STEM OPT extension application with USCIS no later than 90 days before your initial OPT EAD expires. For data engineering intern roles that convert to full-time, this timeline also affects cap-gap eligibility if your employer files an H-1B visa petition on your behalf.
Frequently Asked Questions
Does a data engineering intern role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, information systems, or a related discipline with a qualifying CIP code on the DHS STEM Designated Degree Program list. The role itself must also provide practical training directly related to your degree. Your DSO confirms eligibility when you apply for the extension through USCIS.
How do I know if a data engineering intern employer is enrolled in E-Verify?
Use the official E-Verify employer search tool to look up any company before you accept an offer. E-Verify enrollment is a hard requirement for STEM OPT, and internship postings rarely disclose this information upfront. You can also browse Data Engineering Intern roles on Migrate Mate, which surfaces employers with verified OPT hiring history so you're not starting from scratch on each application.
What goes into the I-983 training plan for a data engineering internship?
The I-983 requires your employer to describe the specific learning objectives, supervision structure, and how the internship connects to your STEM degree. For data engineering roles, this typically includes goals around pipeline architecture, data modeling, or cloud infrastructure work. Your employer signs the plan, your DSO updates your I-20, and you must report any material changes to training within five business days.
What happens to my STEM OPT if my data engineering internship converts to a full-time role and my employer files an H-1B petition?
If your employer files an H-1B petition on your behalf before your OPT EAD expires and you're selected in the lottery, cap-gap protections allow you to keep working through September 30 of that fiscal year even if your EAD expires first. You must maintain valid F-1 status throughout this period, and your DSO should update your SEVIS record to reflect the cap-gap extension.
Which STEM degree fields make you eligible for the STEM OPT extension in a data engineering role?
Degrees in computer science, computer engineering, information technology, electrical engineering, mathematics, and statistics are among the most common qualifying fields for data engineering positions. The degree must appear under an eligible CIP code on the DHS STEM Designated Degree Program list. Check O*NET for the occupational classification tied to the data engineering intern role to confirm the degree-to-occupation alignment your DSO will review.