Description
/Preferred Qualifications
MACH, the software data analytics division in KLA is looking for a passionate and motivated Senior AI Engineer with experience developing, evaluating, deploying, and monitoring Agentic AI applications that go beyond traditional machine and deep learning. In this role, the candidate will be responsible for working with the division’s AI Working Group integrating Agentic AI across various products to solve complex challenges in semiconductor manufacturing. The candidate will be involved in technical/architectural design, identifying suitable technology stacks, and hands-on development and will be working with a talented cross-functional teams integrating these intelligent agents into applications and workflows that enhance efficiency, quality, and innovation.
Responsibilities:
· Architect and implement agentic AI solutions for semiconductor applications
· Develop multi-agent systems that collaborate across semiconductor domains
· Integrate reasoning, planning, and reinforcement learning into AI workflows
· Collaborate with hardware, software, and data teams to ensure seamless deployment, usability and user-experience
· Continuously evaluate emerging technologies in agent-based AI and apply them to real-world semiconductor challenges.
Skills & Experience:
· 5+ years in AI/ML development, with strong exposure to agent-based systems or reinforcement learning, having designed, evaluated, deployed, and monitored such applications
· Experience with LLM pre-training is optional, but a significant advantage
· At least 5 years of total post-graduation working experience in software engineering, preferably including Machine Learning and Deep Learning
· Proficiency in key programming languages and APIs such as Python, JavaScript, Angular/Vue, C/C++, PyTorch
· Experience developing web-based front-ends
· Understanding of semiconductor manufacturing processes and data pipelines is a plus
· Understanding of cloud platforms and MLOps for scalable AI deployment.
· Strong communication skills and ability to easily work in a dynamic cross-functional environment
· Strong ability to be flexible with evolving requirements and onboard latest technologies and models
Academic Background:
· Master’s degree or PhD in Computer Science, Electrical Engineering or related field
· Minor in Mathematics is optional, but preferred
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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