Software Engineer

Key Skills

JavaScript, Java Programming, Python Programming, Apache, C++, C Programming, SQL, Machine learning techniques, Deep Learning, CUDA/GPU programming, Linux Operating system, SPARK Programming, Common data structures, Design of Experiment, VR/AR frameworks, Dask - Python library

Job Description

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.

Group/Division

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. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.

Responsibilities

In this role and as part of the Software team, you will be working on building and maintaining infrastructure vital for large scale experimentation and deployment of HPC solutions. Domains in which a successful candidate will be encouraged to chip in will include data management and data loading, support for machine learning and deep learning model training.

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus, this is primarily a Software Engineering position. Successful candidates are passionate about software and will have outstanding skills and hands on experience with development in C/C++ and Python in a Windows/Linux environment. Deep conceptual understanding of multi-threaded, multi process and distributed software systems is vital.

Crucial Skills

• Object Oriented Design & Programming in Java or C++
• Scripting languages like Java Script, Python; Data Structures and Algorithms
• Linux System Programming
• Distributed systems

Desirable Skills

• Cloud technologies for network, storage, containerization and compute clusters
• Building and configuring Linux kernels, and designing and fixing network infrastructure
• Linux Device Driver Development
• Understanding of various networking stacks
• GPU Architectures and CUDA (CuGraph, CuData, CuML etc)
• Distributing computing frameworks like Apache Spark, DASK
• Creating the techniques and methods to integrate multiple hardware and software subsystems to seek sophisticated technical challenges
• Data science skills to acquire, transform and present data from various sources to build powerful debugging and analysis software

Minimum Qualifications

• Bachelor's Level Degree in Math, Computer Science Engineering or related field