HPC Systems Engineer

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.

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Key Responsibilities:

• Design and develop compute cluster configurations optimized for performance, reliability, and scalability in KLA systems.

• Select and validate hardware components including CPUs, memory, storage, networking, and specialized accelerators.

• Collaborate with hardware, software, and systems engineering teams to ensure seamless integration of compute clusters into broader system architectures.

• Document hardware design decisions, integration procedures, and diagnostic workflows for internal and cross-team use.

• Participate in design reviews, integration planning, and collaborative problem-solving sessions with cross-functional teams.

Required Skills & Qualifications:

• Strong experience in computer hardware design, particularly in compute cluster or server environments.

• Experience in networking design, including InfiniBand, Ethernet switches, with expertise in port mapping and configuration.

• Familiarity with modern memory technologies (e.g., DDR4/DDR5, DIMM, LPDDR, HBM).

• Familiarity with Linux system administration and OS customization (preferably SUSE Linux).

• Understanding of system-level performance tuning and hardware-software interaction.

• Excellent documentation and communication skills.

Preferred Attributes:

• Experience with hardware validation and troubleshooting tools.

• Knowledge of high-performance computing (HPC) or distributed systems.

• Ability to work effectively in a collaborative, cross-functional engineering environment.

• Test-driven development mindset and attention to detail.

• Self-starter with a proactive approach to problem-solving and continuous improvement.

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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