Engineering Jobs at KLA with Visa Sponsorship
KLA's Engineering teams work across semiconductor process control, equipment development, and advanced manufacturing systems. The company sponsors a range of work visas for Engineering roles and has a structured immigration process in place, making it a realistic target for international candidates with technical backgrounds in hardware, software, or process engineering.
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Get Access To All JobsCompany 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
The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred Qualifications
The AI Manager leads a team of engineers delivering AI enabled products and platforms that drive measurable business outcomes. This role combines people leadership, technical oversight, and delivery accountability, ensuring AI solutions are built responsibly, operate reliably in production, and align with enterprise priorities. The manager partners closely with product, data, platform, security, and business stakeholders to translate opportunities into scalable AI solutions.
Key Responsibilities
- Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives.
- Set clear goals, expectations, and success metrics; conduct regular 1:1s, performance reviews, and career development planning.
- Coach team members on technical excellence, delivery discipline, and responsible AI practices.
- Own delivery of AI and GenAI initiatives from concept through production, ensuring scope, timelines, and quality standards are met.
- Guide teams in building production‑grade AI systems, including data pipelines, model training, LLM applications, deployment, and monitoring.
- Balance experimentation with operational rigor—ensuring solutions are scalable, secure, and supportable.
- Provide architectural and design guidance for:
- ML pipelines and model lifecycle management
- LLM applications (e.g., RAG, agents, copilots, tool/function calling)
- Integration of AI services into enterprise applications
- Review designs and key technical decisions; ensure alignment with platform standards and best practices.
- Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture.
- Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met.
- Communicate status, risks, and outcomes clearly to leadership and stakeholders.
- Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
- Establish guardrails for responsible AI: data privacy, model risk, transparency, bias awareness, and auditability.
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Preferred / Nice to Have
- Experience managing teams building LLM‑based applications or GenAI platforms.
- Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stacks.
- Exposure to MLOps practices, model monitoring, and AI governance frameworks.
- Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
Core Competencies
- People Leadership: coaching, feedback, performance management, hiring
- AI Delivery: ML lifecycle, LLM applications, production readiness
- Technical Judgment: architecture reviews, trade‑off decisions
- Execution: roadmap planning, dependency management, risk mitigation
- Collaboration: product partnership, stakeholder communication
- Responsible AI: security, privacy, governance awareness
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years of experience in software engineering, ML/AI engineering, or applied data roles.
- 4+ years of people management experience leading technical teams.
- Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
- Hands‑on background with modern engineering practices (APIs, CI/CD, testing, observability).
- Ability to communicate effectively with both technical and non‑technical stakeholders.
Base Pay Range: $114,100.00 - $194,000.00 Annually
Primary Location: USA-MI-Ann Arbor-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
The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred Qualifications
The AI Manager leads a team of engineers delivering AI enabled products and platforms that drive measurable business outcomes. This role combines people leadership, technical oversight, and delivery accountability, ensuring AI solutions are built responsibly, operate reliably in production, and align with enterprise priorities. The manager partners closely with product, data, platform, security, and business stakeholders to translate opportunities into scalable AI solutions.
Key Responsibilities
- Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives.
- Set clear goals, expectations, and success metrics; conduct regular 1:1s, performance reviews, and career development planning.
- Coach team members on technical excellence, delivery discipline, and responsible AI practices.
- Own delivery of AI and GenAI initiatives from concept through production, ensuring scope, timelines, and quality standards are met.
- Guide teams in building production‑grade AI systems, including data pipelines, model training, LLM applications, deployment, and monitoring.
- Balance experimentation with operational rigor—ensuring solutions are scalable, secure, and supportable.
- Provide architectural and design guidance for:
- ML pipelines and model lifecycle management
- LLM applications (e.g., RAG, agents, copilots, tool/function calling)
- Integration of AI services into enterprise applications
- Review designs and key technical decisions; ensure alignment with platform standards and best practices.
- Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture.
- Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met.
- Communicate status, risks, and outcomes clearly to leadership and stakeholders.
- Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
- Establish guardrails for responsible AI: data privacy, model risk, transparency, bias awareness, and auditability.
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Preferred / Nice to Have
- Experience managing teams building LLM‑based applications or GenAI platforms.
- Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stacks.
- Exposure to MLOps practices, model monitoring, and AI governance frameworks.
- Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
Core Competencies
- People Leadership: coaching, feedback, performance management, hiring
- AI Delivery: ML lifecycle, LLM applications, production readiness
- Technical Judgment: architecture reviews, trade‑off decisions
- Execution: roadmap planning, dependency management, risk mitigation
- Collaboration: product partnership, stakeholder communication
- Responsible AI: security, privacy, governance awareness
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years of experience in software engineering, ML/AI engineering, or applied data roles.
- 4+ years of people management experience leading technical teams.
- Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
- Hands‑on background with modern engineering practices (APIs, CI/CD, testing, observability).
- Ability to communicate effectively with both technical and non‑technical stakeholders.
Base Pay Range: $114,100.00 - $194,000.00 Annually
Primary Location: USA-MI-Ann Arbor-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.
See all 203+ Engineering at KLA jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering at KLA roles.
Get Access To All JobsTips for Finding Engineering Jobs at KLA Jobs
Align your degree to KLA's engineering disciplines
KLA's Engineering roles span process control, optical systems, and semiconductor equipment. USCIS requires a direct connection between your degree field and the role, so explicitly map your coursework and specialization to the specific engineering function you're targeting before applying.
Target roles in KLA's core product divisions
KLA's strongest hiring concentrations are in equipment engineering, applications engineering, and software engineering tied to semiconductor inspection systems. Focusing your application on these divisions gives you the clearest sponsorship pathway, since LCA filings follow established job code patterns the DOL already recognizes.
Request OPT STEM extension before your first OPT expires
KLA is an E-Verify employer, which is a prerequisite for the 24-month STEM OPT extension. File your STEM OPT application with your DSO at least 90 days before your initial OPT ends to avoid a work authorization gap while your H-1B is being prepared.
Understand KLA's H-1B filing window for new hires
If you're starting full-time after the April lottery period, your H-1B won't take effect until October 1. Confirm with your recruiter whether your offer start date accounts for this gap, and clarify whether KLA will bridge you on OPT or CPT in the interim.
Prepare a project portfolio showcasing manufacturing system experience
KLA's interview process for Engineering roles emphasizes hands-on technical depth in metrology, yield analysis, or equipment integration. Documenting specific projects with measurable outcomes strengthens both your candidacy and the evidentiary record your employer needs when filing your Green Card petition under EB-2 or EB-3.
Find KLA Engineering openings filtered by sponsorship on Migrate Mate
Not every Engineering job listing at KLA surfaces its sponsorship eligibility. Use Migrate Mate to browse KLA's current Engineering openings filtered specifically for visa sponsorship, so you're applying to roles where international candidates are actively considered.
Engineering at KLA jobs are hiring across the US. Find yours.
Find Engineering at KLA JobsFrequently Asked Questions
Does KLA sponsor H-1B visas for Engineers?
Yes, KLA sponsors H-1B visas for Engineering roles. The company has a dedicated immigration support process for its technical workforce and works with outside counsel to prepare H-1B petitions. Most Engineering hires on OPT or CPT are transitioned to H-1B status through the annual USCIS lottery, with cap-subject petitions filed each April for an October 1 start.
How do I apply for Engineering jobs at KLA?
Applications go through KLA's careers portal on their website, where Engineering roles are listed by function and location. You can also find KLA's current visa-sponsoring Engineering openings on Migrate Mate, which filters specifically for roles open to international candidates. Tailor your resume to the engineering discipline listed, whether that's equipment, process, applications, or software engineering, since KLA's hiring teams are function-specific.
Which visa types does KLA commonly use for Engineering roles?
KLA sponsors H-1B, F-1 OPT, F-1 CPT, TN, and J-1 visas for Engineering positions, along with immigrant visa pathways including EB-2 and EB-3 Green Cards. For Canadian and Mexican engineers, TN status under USMCA is a faster alternative to the H-1B lottery. Employees on long-term assignments often transition from H-1B to permanent residency through employer-sponsored PERM labor certification.
What qualifications does KLA expect for sponsored Engineering roles?
Most Engineering roles at KLA require a bachelor's degree or higher in electrical engineering, mechanical engineering, computer science, physics, or a closely related field. Roles in process control or semiconductor equipment often expect familiarity with metrology, yield analysis, or lithography systems. Advanced roles targeting EB-2 sponsorship may require a master's degree or documented specialized expertise in semiconductor manufacturing processes.
How do I time my application if I need H-1B sponsorship at KLA?
USCIS opens H-1B registrations each March for a lottery with an October 1 start date. If you're on OPT, you'll want an offer in place by early spring to allow time for lottery registration. KLA's structured onboarding process for international hires accounts for this cycle, but confirm your start date and any OPT bridge period directly with your recruiter before signing an offer.
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