Full Stack Engineer Jobs for OPT Students
Full Stack Engineer roles are among the most actively sponsored positions for F-1 OPT students, with employers regularly filing H-1B petitions for qualified candidates. Your 12-month OPT window, and 24-month STEM extension if your degree qualifies, gives you enough runway to secure long-term sponsorship.
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Get Access To All JobsAbout Apiphany
Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.
Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together.
About the Role
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Develop AI-powered manufacturing applications:
Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization.
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Engineer for complexity and scale:
Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference.
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Integrate with factory-floor systems:
Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time.
-
Bridge AI and human decision-making:
Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action.
-
Own the full-stack:
Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences.
-
Ship in real-world production environments:
Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure.
-
Iterate quickly in a high-uncertainty domain:
Prototype, test, and refine solutions based on direct user feedback and real-world performance data.
Requirements
Bachelor’s degree in computer science, information technology, software engineering, or a related field.
One year of experience as a Software Engineer or Developer or related that includes the following:
-
0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production.
-
Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar).
-
Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies.
-
AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX.
-
Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems.
-
Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices.
Salary:
$136,000 – $160,000/year
About Apiphany
Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.
Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together.
About the Role
-
Develop AI-powered manufacturing applications:
Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization.
-
Engineer for complexity and scale:
Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference.
-
Integrate with factory-floor systems:
Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time.
-
Bridge AI and human decision-making:
Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action.
-
Own the full-stack:
Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences.
-
Ship in real-world production environments:
Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure.
-
Iterate quickly in a high-uncertainty domain:
Prototype, test, and refine solutions based on direct user feedback and real-world performance data.
Requirements
Bachelor’s degree in computer science, information technology, software engineering, or a related field.
One year of experience as a Software Engineer or Developer or related that includes the following:
-
0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production.
-
Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar).
-
Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies.
-
AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX.
-
Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems.
-
Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices.
Salary:
$136,000 – $160,000/year
How to Get Visa Sponsorship as a Full Stack Engineer
Target companies with an H-1B sponsorship track record
Search DOL LCA disclosure data to verify which employers have filed H-1B petitions for Full Stack Engineers in the past. Past filings are the strongest signal that a company is willing to sponsor your long-term work authorization.
Lead with your full-stack depth, not just breadth
Employers sponsoring OPT hires want to see genuine ownership across the stack. Highlight specific projects where you owned both frontend and backend decisions, including architecture choices, not just feature implementations.
Apply for your STEM OPT extension early
If your degree is in computer science, software engineering, or a related STEM field, file your STEM extension application at least 90 days before your initial OPT expires. Late filing risks a gap in your work authorization.
Prioritize startups and mid-size tech companies
Smaller companies often move faster on sponsorship decisions and have more flexibility than large enterprises. Many startups that rely on engineering talent will sponsor H-1B petitions for Full Stack Engineers they cannot afford to lose.
Frame your OPT timeline as an asset in conversations
A STEM-eligible Full Stack Engineer brings up to three years of authorized work before H-1B sponsorship is required. That runway reassures employers who are uncertain about the process and gives you time to prove your value.
Match your tech stack to the employer's actual codebase
Tailoring your resume to reflect the specific frameworks and languages in a job posting, such as React, Node.js, or PostgreSQL, dramatically improves your callback rate and signals you can contribute immediately without a long ramp-up period.
Full Stack Engineer jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Can F-1 OPT students work as Full Stack Engineers in the United States?
Yes. Full Stack Engineer roles qualify for F-1 OPT because the work is directly related to STEM degree fields like computer science and software engineering. Most positions also qualify for the 24-month STEM OPT extension, giving eligible students up to three years of authorized work before needing H-1B sponsorship.
Do Full Stack Engineer employers commonly sponsor H-1B visas?
Many do, particularly technology companies and startups that depend heavily on engineering talent. Full Stack Engineers consistently appear among the most common H-1B job titles in DOL disclosure data. Sponsorship willingness varies by company size and budget, so it is worth filtering specifically for OPT-friendly employers. Migrate Mate makes it straightforward to browse Full Stack Engineer roles at companies that sponsor.
Does a Full Stack Engineer role qualify for the 24-month STEM OPT extension?
It depends on your degree, not the job title. If your undergraduate or graduate degree is in a STEM field recognized on the DHS STEM Designated Degree Program List, such as computer science, software engineering, or information technology, and the Full Stack Engineer role is directly related to that field, you can apply for the 24-month extension through your Designated School Official.
What should I look for in a Full Stack Engineer job posting to assess sponsorship likelihood?
Look for explicit language about OPT or visa sponsorship in the job description. Beyond that, check whether the company has filed LCA applications for similar roles in the past using publicly available DOL data. Companies that have previously hired international engineers in engineering roles are more likely to understand and support the H-1B sponsorship process for Full Stack Engineers.
How much time do I have to find a Full Stack Engineer job on OPT?
Your initial OPT period gives you 12 months of work authorization after graduation. During that period, you're allowed up to 90 days of unemployment. If your degree qualifies for the STEM extension, a timely application adds 24 more months. Filing the extension at least 90 days before your current OPT expires protects your authorization from lapsing during the review period.
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