Lead AI Software and Systems Engineer

** Company Overview
** 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.
** Group/Division
** With over 40 years of semiconductor process control experience, chip makers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.

Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics.

These differentiate KLA not only in WHAT we do, but also in HOW we do it.
** Job Description/Preferred Qualifications
** Whether you've led teams or projects, passionate about solving complex problems and want to stay close to the tech, this is your opportunity to lead through innovation**.
** Join us in solving one of the most sophisticated challenges in semiconductor manufacturing: detecting nanoscale defects with limited data and system access! You will lead from the front—designing, developing, and deploying ground-breaking AI models that push the boundaries of what's possible.

We’re looking for someone who thrives with solving hard problems, guiding teams through influence, and staying hands-on with the latest in machine learning and MLOps. If you're ready to build the future of AI in manufacturing, we want to hear from you!## ##
** Job Duties, but not limited to:**
* ** Drive AI Product Development**:
Lead the design and implementation of AI solutions that meet real-world business needs.
* ** Build and Deploy Infrastructure**:
Help architect scalable systems and bring modern MLOps practices to life at customer sites.
* ** Prototype Rapidly**:
Experiment with LLMs and ML applications to uncover new use cases and deliver quick wins.
* ** Stay Ahead of the Curve**:
Integrate ground breaking ML/AI research into production-ready tools.
* ** Lead the Data Pipeline**:
Select, clean, and prepare datasets to ensure high-quality model training.
* ** Optimize Performance**:
Run experiments, analyze results, and fine-tune models for speed and accuracy.
* ** Collaborate multi-functionally**:
Work closely with data scientists, engineers, and product managers to deliver impactful solutions.
* ** Mentor Through Influence**:
Guide junior team members and develop a culture of learning—without formal management responsibilities.## ##
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* Qualifications:

*** A solid base in Computer Science, Mathematics, or a related field.
*…