Additional Information
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, chipmakers 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
Lead the Future of AI in Semiconductor Manufacturing
Join us in revolutionizing semiconductor manufacturing by developing modern AI models that detect nanoscale defects-often with limited data and system access. This is your opportunity to shape the future of AI in the semiconductor industry!
We're looking for a visionary leader who thrives with solving hard problems, mentoring others, and delivering real-world impact. From architecture to deployment, you'll be at the forefront of innovation, driving the development of intelligent systems that power the next generation of semiconductor technology!
Job Duties, but not limited to:
Architect and build the MLOps backbone of our AI products, ensuring scalability, reliability, and performance.
Collaborate multi-functionally with team members, designers, and engineers to define and implement technical requirements.
Deploy sophisticated ML models at customer sites, ensuring seamless integration and high performance in production air-gapped environments.
Stay ahead of the curve by integrating the latest ML/AI research into real-world applications.
Lead the data pipeline-from dataset selection and preprocessing to quality assurance and model training.
Lead experimentation and statistical analysis to fine-tune models for optimal accuracy and efficiency.
Mentor and inspire junior engineers, fostering a culture of technical excellence and continuous learning.
Qualifications, but not limited to:
- Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow, Keras).
- Expertise in MLOps tools (MLflow, Kubeflow), container orchestration (Kubernetes, Docker), and infrastructure automation (Terraform).
- Experience deploying models in secure or disconnected environments (air gapped, on-prem).
- Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid architectures.
- Proven ability to lead technical design discussions and mentor engineering teams.
Kla · Ann Arbor, MI