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.

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

Role Summary

The Software Engineer contributes to the development and support of software systems that enable AI‑driven features and applications. This role focuses on implementing well-defined components, services, and integrations that work with AI and ML capabilities. The engineer works under guidance from senior engineers and collaborates closely with AI/ML, data, and product teams to deliver reliable, production-quality software.

Key Responsibilities

• Implement backend components and services that integrate AI/ML capabilities into applications.
• Support AI inference workflows by connecting applications to model endpoints, APIs, or AI services.
• Add application logic around AI outputs, such as validation, formatting, basic confidence handling, and error management.

• Develop well-scoped features and tasks using established architectures, frameworks, and coding standards.
• Write clean, readable, and maintainable code with appropriate unit tests.
• Participate in code reviews, incorporate feedback, and continuously improve coding practices.

• Work with senior software engineers to understand system design and implementation patterns.

• Follow CI/CD processes to build, test, and deploy software changes.
• Add logging and basic metrics to support observability and troubleshooting.
• Assist with debugging and resolving issues in development and lower environments support production issues with guidance.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 3-5 years of professional software development experience (or strong internship/project experience).
• Proficiency in at least one programming language such as Python, C#, or Go.
• Basic understanding of APIs, backend development, and databases.
• Familiarity with version control systems (e.g., Git) and standard development workflows.

Nice to Have

• Exposure to AI or ML concepts, such as model inference, basic ML workflows, or LLM-powered features.
• Familiarity with LLM application basics (prompt usage, simple RAG concepts, API-based AI services).
• Experience with cloud platforms (e.g., Azure, AWS, or GCP) through coursework or projects.
• Basic knowledge of containerization (Docker) or CI/CD pipelines.
• Interest in building AI-assisted user experiences or data-driven features.

Core Skills

• Programming: Python (preferred) or Java/C#/Go
• Software Fundamentals: data structures, debugging, testing basics
• APIs & Services: REST APIs, service integration
• Development Practices: Git, CI/CD, code reviews
• AI Integration (Introductory): consuming model APIs, handling AI outputs

Minimum Qualifications

Master's Level Degree and 0 years related work experience Bachelor's Level Degree and related work experience of 2 years

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