Senior / Lead Analyst, Algorithm Research & 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

KLA advanced computing Labs' (ACL) mission in India is to deliver advanced parallel computing research and software architectures for AI + HPC + Cloud solutions to accelerate the performance of KLA's products. ACL explores high-risk approaches, pioneering technologies, and novel methods to accelerate KLA's algorithms and contribute to KLA's HPC technology roadmap. Located out of the IIT Madras Research Park in Chennai, India, we engage leading thinkers in academia, industry and KLA's business units to create innovative parallel computing methods to enable KLA's business growth.

Job Description / Preferred Qualifications

Responsibilities

• Design and develop machine learning software solutions for semiconductor device and thin film metrology
• Work with both internal and external customers to define requirements for these software solutions
• Build machine learning-based software solutions
• Optimize algorithms and prototypical solutions for efficient implementation
• Design, develop, implement, oversee, and adapt API
• Extend prototypes into fully functional, polished solutions ready for internal and / or external use
• Implement solutions in Pythonwith TensorFlow
• Write comprehensive unit tests and provide technical support during alpha and beta testing
• Document the design and implementation of the software solutions, and give presentations both internally and externally regarding the work
• Maintain new and existing software solutions throughout the life-cycle of our tools

Preferred Qualifications

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience Master's Level Degree and related work experience of 3 years Bachelor's Level Degree and related work experience of 5 years

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Skills Required

parallel computing, computational physics, Machine Learning, Api Development, Tensorflow, Distributed Computing, Metrology, Python, Azure Devops