CPT QA Automation Engineer Jobs
QA Automation Engineer roles align directly with computer science, software engineering, and information systems curricula, making CPT authorization straightforward for most F-1 students. Your DSO will need to confirm the role is an integral part of your program before you start. Part-time CPT (under 20 hours per week) keeps your full-time OPT eligibility intact.
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Get Access To All JobsAbout the Role
We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is a unique opportunity to work at the intersection of AI-driven software automation and cutting-edge silicon hardware.
What You Will Do
- Design, develop, and deploy AI-powered automation workflows to streamline silicon test processes, from loadboard bring-up through high-volume production.
- Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
- Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
- Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
- Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
- Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
- Document processes, automation recipes, and best practices to enable team-wide adoption.
Why This Role Matters
AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.
What You Will Gain
- Hands-on experience applying AI to real-world semiconductor engineering problems.
- Deep exposure to the full silicon lifecycle — from design validation through high-volume manufacturing.
- Mentorship from experienced test and product engineers at the forefront of AI chip development.
- A portfolio of automation projects you can showcase to future employers.
- The opportunity to shape how a world-class engineering team integrates AI into daily operations.
What We Are Looking For
- Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
- Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
- Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.
- Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.
- A builder's mindset — you see a manual process and immediately think about how to automate it.
About the Role
We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is a unique opportunity to work at the intersection of AI-driven software automation and cutting-edge silicon hardware.
What You Will Do
- Design, develop, and deploy AI-powered automation workflows to streamline silicon test processes, from loadboard bring-up through high-volume production.
- Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
- Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
- Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
- Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
- Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
- Document processes, automation recipes, and best practices to enable team-wide adoption.
Why This Role Matters
AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.
What You Will Gain
- Hands-on experience applying AI to real-world semiconductor engineering problems.
- Deep exposure to the full silicon lifecycle — from design validation through high-volume manufacturing.
- Mentorship from experienced test and product engineers at the forefront of AI chip development.
- A portfolio of automation projects you can showcase to future employers.
- The opportunity to shape how a world-class engineering team integrates AI into daily operations.
What We Are Looking For
- Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
- Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
- Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.
- Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.
- A builder's mindset — you see a manual process and immediately think about how to automate it.
See all CPT QA Automation Engineer Jobs
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Get Access To All JobsQA Automation Engineer CPT: Frequently Asked Questions
Does a QA Automation Engineer role qualify for CPT authorization?
Yes, if your program includes coursework in software testing, quality assurance, or related engineering disciplines. Your DSO must confirm the role is an integral part of your curriculum, not just related to your field. Bring the job description and relevant course syllabi to your CPT meeting so your DSO can document the connection clearly.
Can I work full-time as a QA Automation Engineer on CPT?
Full-time CPT (20 or more hours per week) is allowed, but 12 or more months of full-time CPT eliminates your OPT eligibility entirely. If you're planning to use OPT after graduation, structure your CPT as part-time or limit full-time authorization to less than 12 cumulative months across all employers and semesters.
How do I find QA Automation Engineer employers who understand CPT?
Search Migrate Mate for QA Automation Engineer roles filtered by employers with documented work authorization filing history. Companies that have filed LCAs for engineering roles are far more likely to have HR processes in place for CPT paperwork than those encountering F-1 work authorization for the first time.
What does my employer need to provide for my CPT authorization?
Your employer must provide a written offer letter or training agreement that specifies the job title, start and end dates, weekly hours, and work location. Some DSOs also require a brief description of how the role connects to your program objectives. Remote roles are generally accepted, but your I-20 must reflect the correct employer and work site information.
Does CPT as a QA Automation Engineer count toward STEM OPT eligibility?
CPT itself doesn't affect STEM OPT eligibility as long as your full-time CPT stays under 12 cumulative months. STEM OPT eligibility depends on your degree being in a qualifying STEM field listed on the DHS STEM Designated Degree Program List, not on your CPT employer or role. Confirm your degree's CIP code with your DSO well before graduation.