What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

KLA's eBeam division develops industry-leading semiconductor inspection systems powered by advanced computing infrastructure, AI, and large-scale analytics. We are seeking a hands-on engineer to design, deploy, and optimize Windows-based environments that support next-generation high-performance computing (HPC) platforms. This role is ideal for an engineer with strong Windows Server expertise who enjoys solving complex infrastructure challenges across hardware, software, networking, and automation.

Key Responsibilities

• Configure, deploy, and optimize Microsoft Windows Server environments supporting HPC and AI workloads
• Develop and maintain system images, deployment processes, and infrastructure automation.
• Support compute, storage, networking, and GPU-based platforms used in advanced semiconductor inspection systems.
• Create and maintain deployment, monitoring, and diagnostic tools using PowerShell and Python.
• Perform hardware integration, qualification, benchmarking, and performance optimization.
• Collaborate with software, hardware, manufacturing, and field teams to support product development and deployment.
• Drive infrastructure refresh and scalability initiatives supporting future product generations.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field.
• 3 to 5 years of experience deploying and administering Microsoft Windows Server (2012-2025) environments.
• Configuration Manager OSD (SCCM),Microsoft Deployment Toolkit (MDT), ADK, WinPE, and Windows Deployment Services (WDS)
• Active Directory, Group Policy, DNS, and DHCP
• PowerShell scripting and automation
• Hyper-V and virtualization concepts
• TCP/IP networking fundamentals and enterprise infrastructure services
• Configuration management and deployment automation
• x86 server hardware, system integration, and performance optimization
• Storage technologies including RAID, HBA controllers, and JBOD architectures
• Hardware bring-up, device drivers, and system diagnostics
• Python for automation and infrastructure management

Preferred Qualifications

• Microsoft certifications (MCSE or equivalent)
• Experience supporting HPC, AI, or GPU-accelerated compute environments
• Experience with Docker, Kubernetes, or containerized workloads
• Configuration management and Infrastructure-as-Code tools
• CI/CD tools such as Jenkins and Git
• Monitoring platforms including Grafana and Prometheus
• PKI, SSL/TLS certificates, and security best practices
• Workload schedulers such as Slurm
• Cloud platforms including Azure, AWS, or Google Cloud

Minimum Qualifications

Ph.D., Master's, or Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field with enough hands-on experience to meet the required qualifications.

Total Rewards

KLAs 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.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews1whether virtual or in person1is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.