Specialist, HPC Software Systems

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

KLA’s LS-SWIFT division is seeking an inquisitive and challenge-driven HPC System Software Engineer to develop next-generation scalable system software and infrastructure for AI solutions. This pivotal role will serve as the cornerstone for assembling a technical team in India. The ideal candidate will possess excellent communication skills, leadership potential, team-oriented spirit, strong organizational abilities, and adaptability to thrive in a dynamic growth environment. The candidate will collaborate with AI center of excellence in Israel, Milpitas - US, Ann Arbor - US and various algorithm teams to develop the scalable system software for high-performance computing (HPC) applications

Key Responsibilities:

• Understand project specifications and performance requirements and drive adherence to project timelines, ensuring program milestones are achieved on schedule.
• Lead and expand a team of software engineers.
• Ensure effective collaboration within the team.
• Manage time and organizational tasks efficiently.
• Adapt swiftly to changes within the fast-paced industry.

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.

Essential 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 identify and address bottlenecks in data movement, code execution, and job scheduling.
• Understanding of HPC infrastructure
• Proficiency in Shell and Python scripting for test environments.

Preferred Qualifications:

• Familiarity with performance profilers.
• Experience with observability tools for distributed systems (Prometheus, Grafana).
• BS or MS degree in Computer Engineering or Electrical Engineering.
• 3 to 5 years of validated experience.

Key Attributes for Success:

• Excellent written and verbal communication skills.
• Team-oriented and highly motivated.
• Effective organization and time management.
• Adaptability to change in a rapidly growing environment.
• This position offers an exceptional opportunity to be at the forefront of developing cutting-edge system software that powers AI advancements. Join us at KLA to become an integral part of our ambitious technical journey.

Education & Experience:

Doctorate (Academic) Degree and related work experience of 3 years

OR

Master's Level Degree and related work experience of 6 years

OR

Bachelor's Level Degree and related work experience of 8 years

Minimum Qualifications

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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