Forward Deployed Engineer
AI summary of the role
This role is the bridge between KLA's AI R&D and business units, owning the internal AI platform that enables scalable, production-grade AI deployments.
What you’ll do
- Build and enhance AI products and tools, 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 and scales without adding headcount
- Design and operate on-prem inference infrastructure for deployments where data cannot leave the network
What you’ll bring
- 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
Technologies
Python · ML frameworks · model fine-tuning · inference optimization · model serving · on-prem deployment · CI/CD · containerization · orchestration · Infrastructure-as-Code
About KLA Corporation
KLA builds inspection, metrology, and process-control systems chipmakers use to find defects and ensure yield across wafer, reticle, packaging, PCB, and display manufacturing.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 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 performanc [... source excerpt omitted ...] vice 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 w [... source excerpt omitted ...] o 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 persiste
Employer postings · Data from · Sources