Company OverviewKLA 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/DivisionThe KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.
Job Description/Preferred Qualifications
This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is proprietary, the problems are hard, and the impact is measurable - this is the role.
This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization.
Key Responsibilities:
Build and enhance AI products and tools for the business, owning product quality and reliability end to end
Deploy AI capabilities into KLA's teams, serving as the bridge between R&D and production use
Own the internal AI infrastructure - the foundational layer that removes friction, compounds organizational learning, and scales without adding headcount
Architect and maintain reusable infrastructure: agent scaffolding, eval frameworks, and integration patterns
Design and build persistent context and memory systems that make AI environments personalized and progressively more useful over time
Build skill and plugin distribution systems that let one person's breakthrough become everyone's baseline
Design and operate on-prem inference infrastructure for deployments where data cannot leave the network
Fine-tune or adapt foundation models on proprietary data where it creates meaningful capability uplift
Build CI/CD pipelines for agents: testing, evaluation, versioning, and rollback
Set technical standards and mentor junior engineers; lead design reviews and define golden paths for development
Track the AI frontier at a deep technical level - not just what shipped but how it works and what it changes about what's possible
Preferred Qualifications:
Bachelor's degree in Computer Science, Software Engineering, or related field; Master's preferred
3+ years of experience building and operating ML/AI systems in production, including ownership of production-grade infrastructure
Strong proficiency in Python and experience with ML frameworks and model fine-tuning techniques
Hands-on experience with inference optimization and model serving infrastructure, including on-prem deployment patterns
Experience building internal tools, platform infrastructure, or developer experience layers that other engineers or non-technical users depend on
Experience designing plugin architectures, marketplace systems, or extensible platform components that scale adoption
Experience building persistent memory, context management, or personalization systems for AI products
Working knowledge of CI/CD, containerization, orchestration, and Infrastructure-as-Code
Experience designing evaluation harnesses and automated testing for AI systems
Strong understanding of data governance and security - comfortable operating within tiered data handling policies
Owns outcomes, not tasks - you identify what needs to happen and drive it without being managed
Technical leadership experience: mentoring engineers, leading design reviews, setting standards
Prior experience in semiconductor, manufacturing, or scientific/industrial ML is a plus
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work... For full info follow application link.
KLA-Tencor is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.
