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Role Description

Our engineering team builds software and hardware solutions that leverage chip design and layout data to power wafer inspection and defect classification across KLA’s optical and eBeam platforms. These systems operate at scale and are central to delivering high-throughput, high-accuracy inspection for leading semiconductor manufacturers.

As a software engineer, you will work across the stack—developing applications and contributing to the design and validation of the high-performance compute systems that run them. You will collaborate closely with hardware, algorithms, and systems teams, translating complex requirements into scalable, production-ready solutions.

We are looking for engineers with strong learning agility and communication skills who take ownership of unfamiliar problems, ramp quickly in new domains, and leverage modern AI and agentic coding tools to improve development velocity and solution quality.

Key Responsibilities

• Design, develop, and maintain software components for inspection and review systems
• Work across the stack: UI, backend services, and system integration
• Rapidly ramp on new domains and take ownership of ambiguous or unfamiliar problems
• Collaborate with hardware and end users to define, specify, and validate solutions
• Communicate clearly in design discussions, code reviews, and cross-team interactions
• Optimize performance for compute-intensive workloads and system-level efficiency
• Leverage and experiment with AI / agentic coding tools to accelerate development and improve outcomes
• Contribute to code quality, testing, CI/CD, and shared engineering practices

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
• MS +0–3 years or BS +2–5 years of software development experience
• Strong proficiency in C++ and experience working in Linux environments
• Solid fundamentals in data structures, algorithms, and software design
• Demonstrated ability to learn quickly and solve complex problems
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with high-performance computing or distributed systems
• Familiarity with semiconductor, inspection, or similar complex systems
• Exposure to hardware/software co-design or system-level performance tuning
• Experience with frontend (e.g., React) and backend services
• Familiarity with containerization (e.g., Docker)
• Experience using AI-assisted or agentic development tools in real workflows