Software Engineer - HPC

Company Overview

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, chip makers 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.

As a member of the HPC system software engineering team, you will build software that runs large‑scale deep learning or image processing workloads on a cluster. You will work with the product team to ensure we are building the right software for our customers, delivered at high quality and on time. Develop and maintain the infrastructure and software necessary for large‑scale experimentation and deployment of HPC solutions.

• Build software that runs large‑scale deep learning or image processing workloads on a cluster.
• Work with the product team to ensure we are building the right software for our customers, delivered at high quality and on time.
• Develop and maintain infrastructure and software necessary for large‑scale experimentation and deployment of HPC solutions.

• 2+ years building core‑product software in the HPC environment.
• Experience managing and monitoring large‑scale infrastructure.
• Understanding of operating systems and can debug at all levels of the stack, including networking and storage.
• Deep conceptual understanding of multi‑threaded, multi‑process and distributed software systems.
• Strong engineering background;
  PhD/Master’s in EECS, Mathematics, Software Engineering, or Physics.

• Object‑oriented design & programming in Java or C++.
• Scripting languages like Python.
• Data structures and algorithms.
• Linux system programming.
• Distributed systems.

• Doctorate (Academic) or work…