H-1B Visa Forward Deployed Software Engineer Jobs
Forward Deployed Software Engineers work embedded at client sites, building and customizing software in real time. Employers filing H-1B visa petitions for this role typically classify it under software development SOC codes, and the specialty occupation requirement is well-established given the degree-intensive nature of the work.
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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 339+ H-1B Visa Forward Deployed Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Forward Deployed Software Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Forward Deployed Software Engineer
Confirm your SOC code before applying
Forward Deployed Software Engineer roles are typically filed under software developer SOC codes. Check the O*NET profile for your exact title so you can verify the employer's LCA matches the work you'll actually perform.
Target employers with active LCA filing history
Use Migrate Mate to filter for companies that have filed LCAs for software engineering roles. Employers with consistent filing history are far more likely to move quickly through the H-1B petition process than first-time sponsors.
Document the client-site work arrangement carefully
USCIS scrutinizes third-party placement roles heavily. Your employer must show they control your day-to-day work, not the client. Ask HR how the company structures its I-129 filings for deployed engineers before accepting an offer.
Request prevailing wage verification early
Run your prospective job title and location through the OFLC Wage Search before your offer letter is finalized. The wage level on the LCA must meet or exceed the DOL prevailing wage for your SOC code and worksite, not the employer's headquarters.
Prepare a degree-to-role equivalency narrative
If your degree is in a field adjacent to software engineering, prepare a written explanation of how your coursework and experience map to the specialty occupation definition. RFEs on this point are common for forward-deployed roles with broad job descriptions.
Track the 60-day grace period if your status changes
If you lose your H-1B job between client engagements, USCIS allows a 60-day grace period to find a new sponsor or change status. Don't wait until the last week to start applications since new employer I-129 filings take time.
H-1B Visa Forward Deployed Software Engineer: Frequently Asked Questions
Does a Forward Deployed Software Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the employer can demonstrate the role requires at least a bachelor's degree in a directly related field such as computer science, software engineering, or information systems. USCIS has upheld software developer roles as specialty occupations consistently, but forward-deployed positions occasionally receive RFEs asking the employer to prove they, not the client, direct your work.
How does working at a client site affect my H-1B petition?
USCIS applies extra scrutiny to H-1B petitions where the employee works at a third-party site rather than the sponsoring employer's own location. Your employer must document that they assign your tasks, evaluate your performance, and control your work product. Employers experienced in filing for deployed engineers typically have this documentation ready. Ask specifically about this before signing an offer.
Can I transfer my H-1B to a new employer if I switch Forward Deployed Software Engineer roles?
Yes. Under H-1B portability rules, you can start working for a new sponsoring employer as soon as they file a new I-129 petition, provided you've maintained valid H-1B status. The new employer must file their own LCA covering your new worksite location, which matters because prevailing wages differ by geography and SOC code.
Where can I find employers who actively sponsor H-1B visas for this role?
Migrate Mate shows verified LCA filing history for employers hiring Forward Deployed Software Engineers, so you can see which companies have an actual track record of H-1B sponsorship rather than just listing it as a possibility in a job posting. Filtering by role type and location lets you prioritize outreach to employers already familiar with the filing process.
What happens to my H-1B status if I'm benched between client deployments?
Your H-1B employer is legally required to pay your full LCA wage whether or not you're actively deployed at a client site. If the employer stops paying during a bench period, your status may be at risk. USCIS requires that you remain on payroll throughout your authorized period. If your employment ends, you have a 60-day grace period to find a new sponsor or change status.