HPC / AI Software Infrastructure Lead E

Company OverviewKLA 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. Job Description/Preferred Qualifications HPC/AI Software Infrastructure Leads are core to KLA's technology, while we do not currently have an opening, we are always building our HPC/AI Software Infrastructure Lead Engineering talent community, we are interested in learning about your background. Apply to this posting for Future Opportunities with KLA. At KLA, we're pushing the boundaries of semiconductor inspection through advanced AI and high-performance computing. We are looking for a hands-on technical leader to architect and scale the next generation of AI/HPC infrastructure powering our most critical imaging and data platforms. This role is ideal for someone who thrives at the intersection of distributed systems, GPU computing, and real-world AI workloads, and who enjoys building and mentoring high-performing engineering teams while driving technical excellence. What You'll Do Lead the architecture and development of large-scale HPC and AI infrastructure supporting cutting-edge image processing and machine learning workloads Design scalable, high-performance distributed systems that unify traditional image processing with modern AI/Deep Learning pipelines Drive GPU-accelerated computing strategies, optimizing performance across compute, storage, and networking layers Partner cross-functionally with hardware, algorithms, and product teams to deliver robust, production-ready platforms Establish engineering best practices (code quality, CI/CD, observability, performance tuning) for mission-critical systems Mentor and develop engineers, providing technical guidance, coaching, and growth opportunities for junior team members Serve as a technical leader and decision-maker, influencing architecture and long-term platform strategy What You Bring Experience 10+ years in software engineering, including leading and scaling technical teams Proven success building distributed systems in HPC, AI/ML, or cloud-native environments Track record of delivering performance-critical infrastructure at scale Experience mentoring and growing early- and mid-career engineers Technical Expertise Deep understanding of distributed systems, parallel computing, and Linux systems programming Strong programming skills in C++, Python, or similar systems-level languages Experience with GPU computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow, etc.) Familiarity with high-performance storage systems, networking, and data pipelines Strong foundation in CI/CD, DevOps, and production system reliability Bonus Experience Background in image processing, computer vision, or scientific computing Experience supporting hybrid HPC + AI workloads in production environments Leadership & Impact Passion for developing talent and building inclusive, high-performing teams Ability to operat