Sr. HPC Software Engineer (Hybrid Work Opportunity) (E)

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.

Job Description/Preferred Qualifications

In this exciting role, you will be working on building and maintaining the infrastructure necessary for large-scale experimentation and deployment of HPC solutions.

Domains in which a successful candidate will be expected to contribute will include, data management and data loading, support for machine learning and deep learning model training, experimentation and deployment. Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering position.

Successful candidates are passionate about software and will have exceptional skills, with hands on experience with development in C/C++ and Python in a Linux environment. Deep conceptual understanding of multi-threaded, multi process and distributed software systems is necessary.

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, designing and solving network infrastructure challenges.
• 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 solve sophisticated technical challenges.
• Data science skills to acquire, transform and present data from various sources to build powerful debugging and analysis software.

Minimum Qualifications

Doctorate (Academic) with work experience of 2 years, Master's Level Degree with work experience of 4 years, Bachelor's Level Degree with work experience of 5 years

The company offers a competitive and comprehensive benefits package including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, financial planning benefits, employee assistance program (EAP), paid time off and paid company holidays, family care and bonding leave.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.