HPC SW 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

Architect and Design High-Performance Compute Clusters:

• Collaborate with cross-functional teams to design, implement, and support HPC clusters.
• Optimize compute resources for maximum efficiency, considering CPU/GPU architecture, storage scalability, and high-bandwidth interconnects.

Project Specifications and Timelines:

• Understand project specifications and performance requirements at both subsystem and system levels.
• Drive adherence to project timelines, ensuring program milestones are achieved on schedule.

Efficiency and Optimization:

• Dive deep into system performance to identify bottlenecks and inefficiencies.
• Optimize job scheduling, infrastructure and parallel execution.
• Evaluate detailed timing of cluster operations and data transfer.

Linux OS Configuration:

• Leverage your strong Linux skills to configure appropriate operating systems for the HPC environment.

Skills and Abilities:

• We’re looking for inquisitive problem-solvers who thrive on challenges.
• Excellent written and verbal communication skills are essential.
• Grow to lead a team of software engineers
• Team-oriented and highly motivated.
• Effective organization and time management.
• Adaptability to change in a rapidly growing environment.

Minimum Qualifications

Required Qualifications:

• Strong Object Oriented programming skills in Java and/or C++
• Proficiency in parallel programming and distributed computing.
• In-depth knowledge of Linux systems and internals.
• Ability to find and address bottlenecks in data movement, code execution, and job scheduling.
• Knowledge of libraries such as SIMD, AVX, IPP, MKL, openCV, openMP, OpenCL, MPI, and CUDA.
• Familiarity with performance profilers (Intel vTune, Nvidia Nsight compute, AMD uProf, perf).
• Strong understanding of HPC hardware (servers, GPUs, networking, storage, BIOS, BMC).
• Proficiency in Shell and Python scripting for test environments.
• Preferred Qualifications:
• Experience with Kubernetes, Prometheus, and Grafana.
• BS or MS degree with 3 to 5 years of validated experience.
• Background in Computer Engineering or Electrical Engineering.

Preferred Qualifications:

• Experience with Kubernetes, Prometheus, and Grafana.
• BS or MS degree with 3 to 5 years of validated experience.
• Background in Computer Engineering or Electrical Engineering.

Education & Experience:

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 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