Infrastructure Software Engineer Jobs for OPT Students
Infrastructure Software Engineer jobs are strong candidates for OPT work authorization because the role consistently qualifies as a specialty occupation requiring a degree in computer science, systems engineering, or a related field. Most positions support STEM OPT extension, giving you up to three years of authorized work.
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KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
KLA has always had a close relationship with physics and data. Our optical and electron beam inspection and measurement tools use cutting edge physics models, both for hardware design and as part of their algorithms. AI, including several traditional machine learning techniques and deep learning are routinely used to process this data to meet application requirements. The AI & Modeling Center of Excellence was setup with the mission of advancing KLA’s traditional strengths in physics and data and providing implementation solutions for multiple KLA Inspection and Metrology products targeted at the semiconductor manufacturing industry. The AI & Modeling Center of Excellence is part of the company’s Central Engineering organization providing product development expertise in a critical area for a wide variety KLA products. As a part of this group, you will be part of a world class team of physicists, HPC system designers, machine learning and application engineers who build cutting edge solutions for modeling complex imaging techniques and semiconductor processes. You will also work with a data scientists and AI infrastructure engineers whose mission is to build and scale machine learning based solutions for our semiconductor customers. We are looking for engineers in a few different fields. If you are passionate about Physics Modeling, High Performance Computing - HPC (including GPU), Machine Learning, Deep Learning, Data Sciences, or cutting-edge Cloud technologies – this is the place for you!
Job Description/Preferred Qualifications
Sr. AI Infrastructure Software Engineer – C++ Focus
Love C++? Fascinated by GPUs? Curious about how AI frameworks with CUDA, TensorFlow, JAX and PyTorch really work under the hood? We’re building the next-gen software stack that powers the future of AI and we’re looking for sharp, curious engineers who want to get close to the product, and grow to the architect level. If you’re passionate about low system-level development, this is your chance to make a real impact in AI infrastructure. You’ll work alongside a world-class team, top-notch architects, solving tough problems at the intersection of software and hardware, and growing your skills in a space that’s shaping the future of computing.
What You’ll Do
- Design and implement core infrastructure components that support AI/ML workloads across multiple frameworks and hardware platforms.
- Write high-performance, maintainable C++ code for system-level software that interfaces directly with GPUs and low-level hardware.
- Collaborate with cross-functional teams to integrate AI frameworks into a unified development environment.
- Contribute to build systems and toolchains using Makefiles, CMake, Clang, and GCC.
- Learn from experienced engineers and grow into broader architectural and leadership responsibilities over time.
What We’re Looking For
- Degree in Computer Science, Electrical Engineering, or a related field.
- Strong C++ programming skills and solid software engineering fundamentals.
- Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
- Familiarity with build tools (Makefile, CMake) and compilers (Clang, GCC).
- Hands-on skills on Python programming.
- Bonus: Exposure to AI/ML frameworks like TensorFlow, PyTorch, or JAX.
- Bonus: Experience with embedded systems or companies building physical products.
- Excellent attention to detail, planning, and execution skills—especially for multi-month projects.
- Strong communication skills and a collaborative, customer-focused mindset.
- A plus if you’ve transitioned from software development into technical project coordination or aspire to do so.
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
Base Pay Range: $166,700.00 - $283,400.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
KLA has always had a close relationship with physics and data. Our optical and electron beam inspection and measurement tools use cutting edge physics models, both for hardware design and as part of their algorithms. AI, including several traditional machine learning techniques and deep learning are routinely used to process this data to meet application requirements. The AI & Modeling Center of Excellence was setup with the mission of advancing KLA’s traditional strengths in physics and data and providing implementation solutions for multiple KLA Inspection and Metrology products targeted at the semiconductor manufacturing industry. The AI & Modeling Center of Excellence is part of the company’s Central Engineering organization providing product development expertise in a critical area for a wide variety KLA products. As a part of this group, you will be part of a world class team of physicists, HPC system designers, machine learning and application engineers who build cutting edge solutions for modeling complex imaging techniques and semiconductor processes. You will also work with a data scientists and AI infrastructure engineers whose mission is to build and scale machine learning based solutions for our semiconductor customers. We are looking for engineers in a few different fields. If you are passionate about Physics Modeling, High Performance Computing - HPC (including GPU), Machine Learning, Deep Learning, Data Sciences, or cutting-edge Cloud technologies – this is the place for you!
Job Description/Preferred Qualifications
Sr. AI Infrastructure Software Engineer – C++ Focus
Love C++? Fascinated by GPUs? Curious about how AI frameworks with CUDA, TensorFlow, JAX and PyTorch really work under the hood? We’re building the next-gen software stack that powers the future of AI and we’re looking for sharp, curious engineers who want to get close to the product, and grow to the architect level. If you’re passionate about low system-level development, this is your chance to make a real impact in AI infrastructure. You’ll work alongside a world-class team, top-notch architects, solving tough problems at the intersection of software and hardware, and growing your skills in a space that’s shaping the future of computing.
What You’ll Do
- Design and implement core infrastructure components that support AI/ML workloads across multiple frameworks and hardware platforms.
- Write high-performance, maintainable C++ code for system-level software that interfaces directly with GPUs and low-level hardware.
- Collaborate with cross-functional teams to integrate AI frameworks into a unified development environment.
- Contribute to build systems and toolchains using Makefiles, CMake, Clang, and GCC.
- Learn from experienced engineers and grow into broader architectural and leadership responsibilities over time.
What We’re Looking For
- Degree in Computer Science, Electrical Engineering, or a related field.
- Strong C++ programming skills and solid software engineering fundamentals.
- Solid experience and hands-on knowledge with GPU programming (e.g., CUDA) and Linux development environments.
- Familiarity with build tools (Makefile, CMake) and compilers (Clang, GCC).
- Hands-on skills on Python programming.
- Bonus: Exposure to AI/ML frameworks like TensorFlow, PyTorch, or JAX.
- Bonus: Experience with embedded systems or companies building physical products.
- Excellent attention to detail, planning, and execution skills—especially for multi-month projects.
- Strong communication skills and a collaborative, customer-focused mindset.
- A plus if you’ve transitioned from software development into technical project coordination or aspire to do so.
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
Base Pay Range: $166,700.00 - $283,400.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
How to Get Visa Sponsorship as an Infrastructure Software Engineer
Lead with your systems experience upfront
Hiring managers for infrastructure roles scan for specific technologies fast. Put Kubernetes, Terraform, Linux, or CI/CD tools in the top third of your resume so recruiters see your technical fit before they reach your visa status.
Target companies with existing OPT infrastructure
Companies that have sponsored OPT students before already have HR processes, legal contacts, and DSO workflows in place. They move faster and with less friction than employers encountering OPT for the first time.
Confirm your role qualifies for STEM OPT extension early
Infrastructure Software Engineer almost always qualifies under CIP code 14.0901 or 11.0701, but confirm with your DSO before accepting an offer. You need the correct degree field on record to file the STEM extension without issues.
Frame your OPT timeline clearly for employers
Tell hiring managers you have up to three years available through STEM OPT. Many assume OPT is only 12 months. Correcting this early removes a common objection and repositions you as a lower-risk hire than they initially assumed.
Use internship or co-op infrastructure work as direct evidence
Employers sponsoring OPT for infrastructure roles want proof you can operate in production environments. Internship work managing cloud deployments, monitoring systems, or network configurations carries more weight than academic projects alone.
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Get Access To All JobsFrequently Asked Questions
Does an Infrastructure Software Engineer role qualify for STEM OPT extension?
Yes, in most cases. Infrastructure Software Engineer roles typically fall under STEM-designated degree fields including computer science, computer engineering, and electrical engineering. As long as your degree is on the STEM OPT eligible CIP code list and your employer is E-Verify registered, you can apply for the 24-month STEM extension before your standard 12-month OPT expires.
How do I find Infrastructure Software Engineer jobs that support OPT authorization?
Browse Migrate Mate to find Infrastructure Software Engineer roles at employers that have hired OPT and visa-sponsored workers before. Filtering by sponsorship history saves you from applying to companies that will decline at the offer stage. Most infrastructure roles at mid-size and enterprise tech companies actively support OPT without treating it as a blocker.
Can I work as an Infrastructure Software Engineer on OPT without my employer filing any paperwork?
Yes. During standard OPT, your employer does not file any petition with USCIS. Your EAD card is your authorization to work, and the employer simply verifies it on Form I-9. For the STEM OPT extension, your employer must be E-Verify enrolled and sign a formal training plan, but there is no government filing fee or lottery involved.
What happens to my OPT if my Infrastructure Software Engineer job is laid off?
You have a 60-day unemployment grace period during standard OPT and 150 days total across your STEM OPT period. Infrastructure layoffs can happen fast in tech downturns, so tracking your unemployment days against these limits is critical. Exceeding the limit terminates your OPT, and you must either find a new role, transfer to a different status, or depart the U.S.
Do infrastructure roles at startups typically support OPT?
Many do, but the key variable is E-Verify enrollment, which is required for STEM OPT extension. Smaller startups sometimes are not E-Verify registered and may be unwilling to enroll. If you are targeting early-stage companies, ask about E-Verify status before getting deep into the interview process to avoid surprises at the offer stage.
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