Software Engineer Jobs at Intel with Visa Sponsorship
Software Engineer jobs at Intel span chip architecture, firmware, compiler development, and cloud infrastructure, disciplines where deep technical specialization is the norm. Intel has an established visa sponsorship process for this function, supporting candidates through H-1B visa, E-3 visa, Green Card, and OPT pathways across its U.S. engineering sites.
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Job Description: At Advanced Packaging and Technology Manufacturing Group, we build software tools and technologies that help shape the future of foundry and Intel products. Our work in advanced packaging and silicon enablement supports engineering teams in staying at the forefront of cutting-edge semiconductor technologies. We operate in a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success. In this role, we are looking for a strong team player who can help redefine and shape the next generation of software automation and engineering tools through the end-to-end infusion of AI/ML technologies. The ideal candidate will contribute to building intelligent, scalable, and efficient software solutions that accelerate engineering workflows, improve productivity, and support innovation across advanced packaging and silicon development initiatives. This role requires someone who is comfortable working in a dynamic environment, partnering with technical teams, and applying AI/ML across the full software development lifecycle.
Key Responsibilities
- Design, develop, and enhance software tools and automation solutions that support engineering workflows in advanced packaging and silicon enablement.
- Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and workflow efficiency.
- Build and integrate intelligent features into software systems, including data-driven automation, predictive capabilities, and workflow optimization.
- Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
- Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled software tools.
- Develop robust, maintainable, and production-quality code in a fast-paced development environment.
- Evaluate new AI/ML technologies, frameworks, and approaches to drive innovation in engineering productivity and automation.
- Support experimentation, prototyping, and iterative refinement of new solutions in a research-focused setting.
- Ensure software solutions are reliable, scalable, and aligned with engineering and business goals.
- Participate in code reviews, design discussions, and cross-functional technical problem-solving.
Behavioral traits
- Work effectively in a fast-paced, research-driven environment with evolving requirements.
- Problem-solving, analytical thinking, and communication skills.
- Work independently as well as collaboratively within a multidisciplinary team.
Qualifications
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Knowledge and/or experience listed below would be obtained through a combination of your school/work and/or classes and/or research and/or relevant previous job and/or internship experiences.
Minimum Qualifications
- Master’s degree in AI/ML, Data Science/Computer Science, Software Engineering, Electrical Engineering.
- 6 months of experience in:
- Software development skills with experience in building engineering applications, automation tools, or enterprise software solutions.
- Hands-on experience with AI/ML technologies and their practical application in software systems.
- Programming languages such as Python, C++, Java, or similar.
- Software design, development, testing, and debugging in a collaborative environment.
Preferred Qualifications
- Hands-on experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
- End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
- Foundations in data structures, algorithms, and software engineering principles.
- Hands-on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
- Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, or serverless architectures.
- Familiarity with MLOps/LLMOps practices, including model versioning, experiment tracking, monitoring, and performance evaluation.
- Understanding of system design, distributed computing, performance optimization, security, privacy, and responsible AI principles.
- Experience working with large-scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
- Familiarity with databases (SQL/NoSQL), version control, testing, CI/CD, and cloud-native development practices.
Join Intel and contribute to shaping the future of technology. Be a part of a dynamic team committed to delivering innovative solutions that address the needs of a rapidly evolving world. Apply today to take the next step in your career.
Job Type
College Grad
Shift
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Business Group
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement, and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $111,030.00 - 156,740.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Details
Job Description: At Advanced Packaging and Technology Manufacturing Group, we build software tools and technologies that help shape the future of foundry and Intel products. Our work in advanced packaging and silicon enablement supports engineering teams in staying at the forefront of cutting-edge semiconductor technologies. We operate in a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success. In this role, we are looking for a strong team player who can help redefine and shape the next generation of software automation and engineering tools through the end-to-end infusion of AI/ML technologies. The ideal candidate will contribute to building intelligent, scalable, and efficient software solutions that accelerate engineering workflows, improve productivity, and support innovation across advanced packaging and silicon development initiatives. This role requires someone who is comfortable working in a dynamic environment, partnering with technical teams, and applying AI/ML across the full software development lifecycle.
Key Responsibilities
- Design, develop, and enhance software tools and automation solutions that support engineering workflows in advanced packaging and silicon enablement.
- Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and workflow efficiency.
- Build and integrate intelligent features into software systems, including data-driven automation, predictive capabilities, and workflow optimization.
- Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
- Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled software tools.
- Develop robust, maintainable, and production-quality code in a fast-paced development environment.
- Evaluate new AI/ML technologies, frameworks, and approaches to drive innovation in engineering productivity and automation.
- Support experimentation, prototyping, and iterative refinement of new solutions in a research-focused setting.
- Ensure software solutions are reliable, scalable, and aligned with engineering and business goals.
- Participate in code reviews, design discussions, and cross-functional technical problem-solving.
Behavioral traits
- Work effectively in a fast-paced, research-driven environment with evolving requirements.
- Problem-solving, analytical thinking, and communication skills.
- Work independently as well as collaboratively within a multidisciplinary team.
Qualifications
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Knowledge and/or experience listed below would be obtained through a combination of your school/work and/or classes and/or research and/or relevant previous job and/or internship experiences.
Minimum Qualifications
- Master’s degree in AI/ML, Data Science/Computer Science, Software Engineering, Electrical Engineering.
- 6 months of experience in:
- Software development skills with experience in building engineering applications, automation tools, or enterprise software solutions.
- Hands-on experience with AI/ML technologies and their practical application in software systems.
- Programming languages such as Python, C++, Java, or similar.
- Software design, development, testing, and debugging in a collaborative environment.
Preferred Qualifications
- Hands-on experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
- End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
- Foundations in data structures, algorithms, and software engineering principles.
- Hands-on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
- Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, or serverless architectures.
- Familiarity with MLOps/LLMOps practices, including model versioning, experiment tracking, monitoring, and performance evaluation.
- Understanding of system design, distributed computing, performance optimization, security, privacy, and responsible AI principles.
- Experience working with large-scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
- Familiarity with databases (SQL/NoSQL), version control, testing, CI/CD, and cloud-native development practices.
Join Intel and contribute to shaping the future of technology. Be a part of a dynamic team committed to delivering innovative solutions that address the needs of a rapidly evolving world. Apply today to take the next step in your career.
Job Type
College Grad
Shift
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Business Group
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement, and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $111,030.00 - 156,740.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
See all Software Engineer Jobs at Intel
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at Intel.
Get Access To All JobsTips for Finding Software Engineer Jobs at Intel
Align your credentials to Intel's engineering stack
Intel's Software Engineer postings consistently signal preference for systems-level work: compilers, drivers, embedded firmware, or silicon validation software. Tailor your resume to surface those specializations explicitly, not just general software development experience.
Target Intel's campus and early-career pipelines
Intel recruits heavily through university programs for roles that convert OPT candidates to H-1B sponsorship. Applying through Intel's university recruiting channel, rather than general postings, puts your application in front of teams already expecting to sponsor.
Verify your visa type matches the role's location
Intel operates engineering sites in Oregon, California, Arizona, and Texas, and sponsored visa eligibility can depend on work site. Confirm which visa types a specific role supports before accepting an offer, since E-3 and TN filings are site-specific and employer-certified.
Request H-1B filing before the April lottery deadline
If you're transitioning off OPT, your employer must register you with USCIS by mid-March for the April H-1B lottery. Clarify Intel's internal HR timeline for new hires well before your OPT expiration to avoid a gap in work authorization.
Understand Intel's PERM sponsorship expectations for Green Cards
Intel sponsors EB-2 and EB-3 Green Cards for Software Engineers after a period of employment. DOL requires a PERM labor certification showing no qualified U.S. workers are available, so your role's job description at hire directly affects your future Green Card eligibility.
Use Migrate Mate to filter Intel openings by visa type
Intel posts Software Engineer roles across multiple business units with different sponsorship profiles. Use Migrate Mate to filter open positions by the visa categories that apply to your situation, so you're only pursuing roles where your authorization pathway is already supported.
Frequently Asked Questions
Does Intel sponsor H-1B visas for Software Engineers?
Yes, Intel sponsors H-1B visas for Software Engineers and is one of the more active H-1B sponsors in the semiconductor and hardware industry. Sponsorship typically begins after an offer is accepted, with Intel's immigration team managing the USCIS petition. If you're on OPT, Intel will generally initiate H-1B registration before the April lottery window closes.
How do I apply for Software Engineer jobs at Intel?
You can apply directly through Intel's careers portal or browse Intel's open Software Engineer roles filtered by visa type on Migrate Mate. Intel's Software Engineer postings span hardware-adjacent disciplines like firmware, silicon software, and compiler engineering, so filtering by team or product area helps identify roles aligned to your specialization and sponsorship needs.
Which visa types does Intel commonly sponsor for Software Engineers?
Intel sponsors H-1B, E-3 (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and immigrant visas including EB-2 and EB-3 Green Cards. The visa type Intel pursues for a given candidate depends on nationality, role location, and career stage. Australian candidates in particular have a strong pathway through the E-3, which has no lottery.
What qualifications does Intel expect for sponsored Software Engineer roles?
Intel's Software Engineer roles typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Many roles in chip software, firmware, and compiler development expect graduate-level credentials or equivalent specialized experience. For H-1B sponsorship specifically, USCIS requires the role to qualify as a specialty occupation, meaning the degree requirement must be specific to the position.
How do I time my application to avoid gaps in work authorization?
If you're on F-1 OPT, apply to Intel with enough lead time for your H-1B registration to be submitted before the mid-March USCIS deadline. A cap-gap extension protects your authorization through September 30 if your OPT expires before your H-1B takes effect on October 1. Coordinating your offer acceptance timeline with Intel's HR and immigration team is the most reliable way to avoid an authorization gap.