Associate Technical Lead, Software Development

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.

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. 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/Preferred Qualifications

Responsibilities:

• Responsible for Software development and Data engineering in KLA's DL platform and for Customer facing SW development
• Design and implement data collection, processing, storage, and analysis Infrastructure
• Work with other team members to evaluate, test and select data infrastructure technologies, implement and maintain them
• Provide technical leadership and be able to support detailed analysis and tradeoffs for the various solutions
• Collaborate with teams across different geographical zones to develop / deliver software solutions
• Work across groups including systems/hardware, marketing, applications and manufacturing on all aspects of SDLC
• Understand, champion and enforce software development best practices
• Travel to other KLA sites and customer sites on a needed basis

Qualifications:

Education:

• BE/BTech/MS/MCA/MTech (CS/Electronics/Physics/ECE degree)

Basic requirements:

• Technical expertise in programming languages (C#/C++ and Java, Python/Javascript)
• Excellent software design/implementation capabilities
• Strong understanding of data structures and algorithms
• Strong understanding of data processing and storage technologies such as SQL and/or NoSQL Database systems
• Good communication and interpersonal skills
• Motivated to learn new skills independently
• Creative thinker with good problem-solving abilities

Desired:

• Basic understanding of statistics, data visualization, analytics, and machine learning
• Experience with the following technical areas
  • Distributed computing principles
  • Development of large scale applications with Python & Java
  • GPU architectures and data management
  • TensorFlow, NumPy, scikit-learn, and other ML and DL frameworks
• Ability to develop Software with Clean Code and SOLID principles
• Experience in handling and processing huge volumes of data and Knowledge of Data Engineering frameworks & practices
• Proven experience in debugging large complex software

Minimum Qualifications

Education:

• BE/BTech/MS/MCA/MTech (CS/Electronics/Physics/ECE degree)

Doctorate (Academic) or work experience of 1+ year , Master's Level Degree or work experience of 4 years , Bachelor's Level Degree or work experience of 6+ 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

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.