Software Engineer

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.

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

We are seeking a highly motivated and skilled Software Engineer to join our dynamic team focused on scientific computing and modelling solutions. This role is ideal for engineers with a strong background in C# or C++, and experience developing on the .NET/Windows platform.

You will contribute to the design, development, and optimization of software used for modelling and computational workflows that support CD and thin film measurement systems. You will work closely with scientists and engineers to translate complex computational requirements into robust, scalable, and high-performance software solutions.

Key Responsibilities

• Design, implement, and maintain software applications using C# or C++ on the .NET/Windows platform.
• Collaborate with scientists and engineers to translate modelling and computational requirements into robust software solutions.

• Design and development of scalable, performant, and maintainable software solutions for computationally intensive applications.

• Optimize code for performance, scalability, and efficiency in scientific computing environments.
• Participate in code reviews, testing, debugging, and validation to ensure high-quality deliverables.
• Contribute to UI/UX design and implementation where applicable.
• Document software designs, workflows, and usage for internal and external stakeholders.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of professional experience in software development.
• Proficiency in C# or C++, with strong knowledge of the .NET framework and Windows development.

• Proven ability to design and deliver medium-to-large scale software systems.

• Experience in scientific computing, modelling, or computationally intensive applications.
• Strong problem-solving skills and ability to work independently and collaboratively in a team environment.
• Experience translating complex requirements into technical architecture and execution plans.
• Strong problem-solving skills and ability to handle complex technical challenges.
• Excellent communication and collaboration skills in global team environments.

• Experience with AI-assisted development tools (e.g., Claude Code, Windsurf).

Preferred Qualifications (Nice to Have)

• Experience in building complex distributed systems.

• Familiarity with UI/UX design principles and tools.

• Exposure to semiconductor, metrology, or modelling domains is a plus.

What We Offer

• A collaborative and innovative work environment.
• Opportunities to work on cutting-edge scientific modelling and engineering challenges.
• Competitive compensation and benefits package.
• Career growth and development opportunities.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years Master's Level Degree and related work experience of 6 years Bachelor's Level Degree and related work experience of 8 years

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