HPC Systems Engineer

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

At KLA, physics and data are at the core of everything we do. Our AI and Modeling Center of Excellence drives innovation across KLA products by combining expertise in physics modeling, high-performance computing (HPC) and AI. The group is comprised of top-tier physicists, machine learning engineers, HPC architects and data scientists that collaborate to develop scalable, cutting‑edge solutions for our customers.

We’re hiring across multiple disciplines—this is your opportunity to make a global impact.

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. As an AI Infrastructure Engineer, you will research, evaluate, and develop next‑generation hardware and software technologies that enable large‑scale AI and machine learning workloads across KLA. You will help design and build the infrastructure that powers model training, inference, networking, storage, data protection, and emerging agentic AI systems.

This role sits at the intersection of systems engineering, AI platform development, MLOps, and Dev Ops, ensuring that AI teams have reliable, scalable, high-performance infrastructure to develop, train, deploy, and operate AI solutions. You will also define and develop reference architectures and platform standards that can be embraced across KLA products and engineering organizations, enabling secure, cost-effective, and repeatable AI infrastructure deployments.

• Design & Build AI Infrastructure:
  Architect, deploy, and operate scalable, secure, and cost-effective AI platforms, distributed training environments, and model serving systems.
• Research & Innovation:
  Evaluate emerging technologies in AI infrastructure, compute, storage, networking, orchestration, and security, and develop reference designs for enterprise adoption.
• Hardware & Software Orchestration:
  Bring up, integrate, and lead AI compute infrastructure while diagnosing hardware, firmware, operating system, and platform issues.
• Data & Storage Management:
  Design and maintain high-performance storage, networking, and data pipelines supporting large-scale AI workloads.
• Performance & Reliability:
  Develop observability and monitoring solutions, optimize AI workload performance, and ensure infrastructure meets reliability and availability targets.
• Security & Compliance:
  Implement security‑by‑design principles including encryption, identity and access management, secrets management, and AI data security. Contribute to the architecture and implementation capabilities for protecting AI workloads, intellectual property, and sensitive data at KLA.
• Collaboration:
  
  Partner with AI researchers, data scientists, software engineers, IT, and security…