STEM OPT Forward Deployed Engineering Jobs
Forward Deployed Engineering roles sit at the intersection of software and on-site client problem-solving, making them strong candidates for STEM OPT authorization. Your employer must be enrolled in E-Verify, and your STEM degree qualifies you for the 24-month extension, giving you up to 36 months total to build experience and pursue long-term sponsorship.
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A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As an AI Forward Deployed Engineer, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values – Integrity, Commitment, Innovation and Customer Trust.
As an AI Forward Deployed Engineer, you will work at the intersection of advanced artificial intelligence and semiconductor manufacturing. You will be deployed directly to the "front lines" of TSMC Arizona's operations, embedding yourself within business and engineering teams to deeply understand their domain-specific challenges. Armed with state-of-the-art AI tools, you will rapidly design, prototype, and validate solutions, turning complex operational pain points into agile, functional AI applications. Your work will bridge the gap between cutting-edge AI technology and real-world fab execution.
Responsibilities:
- Collaborate with engineering, manufacturing, and business units to deeply understand their daily operations, complex domain knowledge, and workflow bottlenecks.
- Design and rapidly build functional AI prototypes and Proof-of-Concepts (PoCs) using modern Generative AI, Large Language Models (LLMs), RAG architectures, and AI agents to address domain-specific needs.
- Leverage low-code/no-code AI platforms, APIs, and modern rapid-application frameworks to quickly validate and iterate solutions in close collaboration with end-users.
- Conduct agile testing and performance evaluation on prototypes to ensure feasibility, accuracy, and business value within tight feedback loops.
- Partner with core IT and MLOps teams to transition successful "forward-deployed" prototypes into secure, scalable, and production-ready enterprise systems.
- Research, evaluate, and adopt emerging AI tools, open-source libraries, and methodologies to continuously accelerate the team’s prototyping speed.
- Maintain detailed technical documentation and user guides for validated prototypes to support seamless handovers and future productization.
Minimum Qualifications/Requirements:
Education:
- Bachelor's degree, preferably in Computer Science, Management Information Systems, Information Systems, Data Science, Industrial Engineering or a related engineering field or minimum 3 years' experience in software development and systems integration.
Technical Skills:
- Solid understanding of software engineering fundamentals and agile development methodologies.
- Strong programming skills in implementation (essential for AI integration) and familiarity with web/app prototyping frameworks (e.g., Streamlit, Gradio, FastAPI, or Node.js).
- Hands-on experience or a strong project portfolio in utilizing Generative AI tools, APIs (e.g., OpenAI, Anthropic), and orchestrating frameworks (e.g., LangChain, LlamaIndex, or Auto-GPT).
- Familiarity with basic database systems (SQL/NoSQL) and vector databases (e.g., Pinecone, Milvus, or Chroma).
Interpersonal Skills:
- High learning agility with the ability to quickly grasp complex semiconductor manufacturing concepts, engineering workflows, and business logic.
- Highly proactive, resourceful, and passionate about using creative, cutting-edge AI tools to solve practical problems rapidly.
- Excellent communication and collaborative skills to build trust with diverse business stakeholders and translate their needs into technical solutions.
Physical Requirements:
- Ability to sit for extended periods while working at a computer.
- Ability to use a computer, keyboard, and mouse for prolonged periods.
Shift:
TSMC Arizona operates 24/7, 365 days a year. This position requires candidates to have the ability and willingness to work from Monday through Friday 9am-6pm, and work on-call every 2 months. When on-call, candidates are expected to respond to the call 24x7 for that whole week.
Application Consideration Consent:
By applying to this position, I acknowledge and agree that my application and qualifications may be considered for other roles within the company. However, I reserve the right to withdraw my consent for future consideration of other roles within the company at any time.
Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company thrives. TSMC offers a comprehensive and competitive benefits program that includes:
- Medical, Dental, and Vision Plans: Choose the options that best fit your and your family’s needs.
- Income-Protection Programs: Financial assistance during injury or illness.
- 401(k) Retirement Savings Plan: Secure your financial future with competitive employer contributions.
- Paid Time-Off Programs and Holidays: Recharge and spend quality time with loved ones.
Work Location:
5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
We encourage all qualified individuals to apply and welcome applications from diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need an accommodation as part of the application process, please contact P_LOA@tsmc.com.
TSMC Arizona maintains the right to change or assign other duties to this position.
All offers of employment are contingent upon the successful completion of TSMC Arizona’s pre-employment screening process. This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position's location, educational background and a comprehensive background check, where permitted by local regulations.
LI-Onsite
Date: Sep 17, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona
Nearest Major Market: Phoenix
AI Forward Deployed Engineer
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As an AI Forward Deployed Engineer, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values – Integrity, Commitment, Innovation and Customer Trust.
As an AI Forward Deployed Engineer, you will work at the intersection of advanced artificial intelligence and semiconductor manufacturing. You will be deployed directly to the "front lines" of TSMC Arizona's operations, embedding yourself within business and engineering teams to deeply understand their domain-specific challenges. Armed with state-of-the-art AI tools, you will rapidly design, prototype, and validate solutions, turning complex operational pain points into agile, functional AI applications. Your work will bridge the gap between cutting-edge AI technology and real-world fab execution.
Responsibilities:
- Collaborate with engineering, manufacturing, and business units to deeply understand their daily operations, complex domain knowledge, and workflow bottlenecks.
- Design and rapidly build functional AI prototypes and Proof-of-Concepts (PoCs) using modern Generative AI, Large Language Models (LLMs), RAG architectures, and AI agents to address domain-specific needs.
- Leverage low-code/no-code AI platforms, APIs, and modern rapid-application frameworks to quickly validate and iterate solutions in close collaboration with end-users.
- Conduct agile testing and performance evaluation on prototypes to ensure feasibility, accuracy, and business value within tight feedback loops.
- Partner with core IT and MLOps teams to transition successful "forward-deployed" prototypes into secure, scalable, and production-ready enterprise systems.
- Research, evaluate, and adopt emerging AI tools, open-source libraries, and methodologies to continuously accelerate the team’s prototyping speed.
- Maintain detailed technical documentation and user guides for validated prototypes to support seamless handovers and future productization.
Minimum Qualifications/Requirements:
Education:
- Bachelor's degree, preferably in Computer Science, Management Information Systems, Information Systems, Data Science, Industrial Engineering or a related engineering field or minimum 3 years' experience in software development and systems integration.
Technical Skills:
- Solid understanding of software engineering fundamentals and agile development methodologies.
- Strong programming skills in implementation (essential for AI integration) and familiarity with web/app prototyping frameworks (e.g., Streamlit, Gradio, FastAPI, or Node.js).
- Hands-on experience or a strong project portfolio in utilizing Generative AI tools, APIs (e.g., OpenAI, Anthropic), and orchestrating frameworks (e.g., LangChain, LlamaIndex, or Auto-GPT).
- Familiarity with basic database systems (SQL/NoSQL) and vector databases (e.g., Pinecone, Milvus, or Chroma).
Interpersonal Skills:
- High learning agility with the ability to quickly grasp complex semiconductor manufacturing concepts, engineering workflows, and business logic.
- Highly proactive, resourceful, and passionate about using creative, cutting-edge AI tools to solve practical problems rapidly.
- Excellent communication and collaborative skills to build trust with diverse business stakeholders and translate their needs into technical solutions.
Physical Requirements:
- Ability to sit for extended periods while working at a computer.
- Ability to use a computer, keyboard, and mouse for prolonged periods.
Shift:
TSMC Arizona operates 24/7, 365 days a year. This position requires candidates to have the ability and willingness to work from Monday through Friday 9am-6pm, and work on-call every 2 months. When on-call, candidates are expected to respond to the call 24x7 for that whole week.
Application Consideration Consent:
By applying to this position, I acknowledge and agree that my application and qualifications may be considered for other roles within the company. However, I reserve the right to withdraw my consent for future consideration of other roles within the company at any time.
Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best—physically, mentally, and financially—our company thrives. TSMC offers a comprehensive and competitive benefits program that includes:
- Medical, Dental, and Vision Plans: Choose the options that best fit your and your family’s needs.
- Income-Protection Programs: Financial assistance during injury or illness.
- 401(k) Retirement Savings Plan: Secure your financial future with competitive employer contributions.
- Paid Time-Off Programs and Holidays: Recharge and spend quality time with loved ones.
Work Location:
5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
We encourage all qualified individuals to apply and welcome applications from diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need an accommodation as part of the application process, please contact P_LOA@tsmc.com.
TSMC Arizona maintains the right to change or assign other duties to this position.
All offers of employment are contingent upon the successful completion of TSMC Arizona’s pre-employment screening process. This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position's location, educational background and a comprehensive background check, where permitted by local regulations.
LI-Onsite
Date: Sep 17, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona
Nearest Major Market: Phoenix
See all 68+ STEM OPT Forward Deployed Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Forward Deployed Engineering Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Forward Deployed Engineering
Confirm your degree's CIP code eligibility
Not every STEM degree automatically qualifies for the 24-month extension. Cross-check your program's Classification of Instructional Programs code against the official STEM Designated Degree Program List that USCIS publishes to confirm your field is covered before you apply.
Verify E-Verify enrollment before accepting offers
Forward Deployed Engineering roles often appear at fast-growing startups that haven't completed E-Verify enrollment. Search the E-Verify employer search tool directly to confirm enrollment status before signing an offer, since an unenrolled employer disqualifies your STEM OPT extension entirely.
Frame your I-983 training plan around deployment cycles
Your I-983 must document how the work relates to your STEM degree. For Forward Deployed roles, tie each deployment objective to a specific technical competency from your degree, such as systems architecture or applied machine learning, so your DSO can sign off without ambiguity.
Target companies with active H-1B filing histories
Use Migrate Mate to filter Forward Deployed Engineering roles by employers who have filed H-1B visa petitions in past years, so you're pursuing positions at companies already structured to sponsor long-term work authorization rather than starting that conversation from scratch.
Address the field-relatedness test in your offer negotiation
USCIS requires that your job duties relate directly to your STEM degree. Ask the hiring manager for a written job description that explicitly names technical responsibilities. Vague titles like 'client partner' without engineering deliverables can create problems when your DSO evaluates the training plan.
Track your cap-gap window if your OPT expires mid-hiring cycle
If your employer files an H-1B petition before your OPT expires and you're selected in the lottery, cap-gap protection extends your work authorization through September 30. Plan your Forward Deployed Engineering start date around this window so there's no gap between OPT expiration and H-1B activation.
Frequently Asked Questions
Does a Forward Deployed Engineering role qualify for STEM OPT authorization?
Yes, if your underlying degree is on the STEM Designated Degree Program List and the job duties directly relate to that field. Forward Deployed Engineering roles typically involve systems design, software implementation, and technical problem-solving, which map well to computer science and engineering degrees. Your DSO will confirm the connection when reviewing your I-983 training plan before approving the extension.
How do I find Forward Deployed Engineering jobs where the employer is already enrolled in E-Verify?
Migrate Mate surfaces Forward Deployed Engineering roles filtered for employers with verified sponsorship history, so you're not manually cross-referencing every company against the E-Verify employer search. E-Verify enrollment is a hard requirement for STEM OPT, and confirming it before you apply saves you from pursuing roles that can't support your authorization.
What goes into the I-983 training plan for a Forward Deployed Engineering position?
Your I-983 must describe how each major job function connects to your STEM degree. For Forward Deployed roles, that means listing technical deliverables like architecture reviews, integration work, or on-site debugging sessions alongside the degree competencies they draw from. Both you and your employer's authorized representative sign it, and your DSO must approve it before your extension is filed with USCIS.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment after I start?
Your authorization is tied to your employer's continued E-Verify participation. If your employer loses enrollment, you're required to stop working and must either find a new E-Verify-enrolled employer and file an updated I-983, or your STEM OPT extension is no longer valid. USCIS treats this as a material change in employment conditions, so notify your DSO immediately if your employer's status changes.
Can cap-gap cover me if my OPT expires before my H-1B start date in a Forward Deployed Engineering role?
Cap-gap protection extends your work authorization automatically if your employer files a timely H-1B petition before your OPT EAD expires and you're selected in the lottery. Your authorization continues through September 30 of that fiscal year, letting you keep working in your Forward Deployed Engineering role without interruption. Your EAD card itself won't reflect this, but the extension is legally valid under the cap-gap rule.