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KLA

Associate / Technical Lead, Software Development

Job Posted 23 Days Ago Posted 23 Days Ago
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Chennai, Tamil Nadu
Mid level
Chennai, Tamil Nadu
Mid level
As a Full Stack Software Engineer, you will develop algorithms and tools for data analysis, working in a microservice environment to enhance semiconductor equipment performance.
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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

The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.

Job Description/Preferred Qualifications

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 in 2019 we invested 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.

The Global Service Support Organization (GSS) team headquartered in Milpitas, CA, is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The GSS organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.

The GSS organization's Engineering group develops data systems for improved diagnostics and predictive maintenance. The data systems monitor the performance of fleets of KLA test and measurement equipment in semiconductor fabrication plant environments. They collect, transform, and store data. They provide visualizations, recommendations based on analytics, and alerts. This exciting position will enable you to interact with a wide variety of engineers and KLA system data.

Job Description:

Are you driven by curiosity & motivated to generate valuable business performance enhancing insights from data generated by KLA tools?

As a Software Engineer for HQ-SW & Analytics, you will work closely with cross-functional teams, data and algorithm engineers, divisional SME’s, business stakeholders to come up with new algorithms, tools and help define the product roadmap for our next generation data analysis platform for KLA tools management. Your responsibilities shall include collaborating with various stakeholders to collect data, pre-process the same and apply statistical analysis and models to understand complex patterns in the data and come up with algorithms to generate actionable insights.

In addition, you shall also be heavily involved in the design for software applications in a distributed microservice environment, using containers and orchestration technologies like Kubernetes to develop software components and UIs that help our engineers to more effectively monitor, diagnose and optimize KLA semiconductor inspection and metrology equipment.

Basic Requirements:

  • Strong computer science fundamentals (data structures and algorithms)
  • Excellent technical expertise in C#/ Java / Python
  • SQL skills for data extraction and manipulation and experience in database scaling & optimization
  • Ability to interpret data, identify patterns / trends and attention to detail
  • Proven problem solver with ability to distill requirements and design solutions for business problems
  • Motivated to learn new skills independently and do experiments
  • Excellent communication and storytelling skills

Desired Experience:

  • Data Engineering, data pipeline, batch/stream processing
  • Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Developing cloud native applications using Docker, Kubernetes, message buses
  • Agile software development processes
  • Monitoring, logging & tracing tools (e.g., Grafana, ELK stack, Prometheus,  OpenTelemetry)

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.

Minimum Qualifications

Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 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.

Top Skills

C#
Docker
Elk Stack
Grafana
Java
Kubernetes
Opentelemetry
Prometheus
Python
PyTorch
Scikit-Learn
SQL
TensorFlow

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