Senior AI Systems & Platform Engineer (m/f/d)

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The Measurement, Analytics and Control (MACH) division is KLA’s software powerhouse, responsible for developing high-performance software platforms that support semiconductor manufacturing. MACH delivers cutting-edge technologies in patterning analytics, modeling, and data science—empowering chipmakers to ramp next-gen devices faster and more efficiently. Our cross-functional team of research scientists, software engineers, apps engineers and process engineers are solving the industry’s most complex technical problems.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

MACH, the software data analytics division in KLA, is looking for a Senior AI Systems & Platform Engineer (On-Prem / Edge AI) to help build our internal AI engineering foundation from the ground up.

This role goes beyond developing AI models or applications. The focus is on designing and deploying production-grade AI systems in air gapped and on premise environments, enabling secure, scalable, and cloud independent AI capabilities across MACH products.

You will work closely with the AI Working Group and cross-functional engineering teams to define the architecture, infrastructure, and operational model required to integrate agentic AI systems into real-world semiconductor workflows.

This role is not focused on using managed AI services or cloud-only solutions, but on building and operating self-hosted, production-grade AI platforms.

Solution Architecture & Platform Engineering

• Define end-to-end architecture for on-prem / air gapped AI platforms, including compute, storage, networking, and model serving layers.
• Design and implement portable AI infrastructure using open-source components (model serving, orchestration, vector storage, pipelines).
• Translate product requirements into scalable system architectures, including deployment topology and hardware sizing.
• Establish security, isolation, and resilience patterns for AI workloads in restricted environments.
• Own decisions on model hosting, orchestration, observability, and lifecycle management.
   

AI Systems & Application Integration

• Design and deploy agentic and multi-agent systems on top of production-grade infrastructure.
• Integrate reasoning, planning, and learning capabilities into reliable, observable, and maintainable systems.
• Collaborate with hardware, software, and data teams to ensure seamless deployment and usability in production environments.
• Drive integration of AI systems into existing products and workflows in semiconductor manufacturing.

Technology Leadership

• Continuously evaluate and adapt emerging AI and infrastructure technologies for real-world industrial use cases.
• Guide architectural decisions around AI infrastructure, model deployment, and system evolution.
• Contribute to building internal standards and reusable components for AI engineering across the division.

Minimum Qualifications

What you should bring for this role

• University degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience in solution architecture and system design for production-grade software systems.
• Expertise in deploying AI/ML systems in on-premise, air gapped, or otherwise restricted environments.
• Hands-on experience with:
  - Model serving and inference systems (e.g. vLLM or similar).
  - Distributed systems, high-performance computing, or data-intensive platforms.
  - CI/CD and MLOps for offline or partially connected environments.
• Ability to define and evaluate hardware requirements (GPU/CPU/memory/storage/networking) for AI workloads.
• Strong programming skills (Python required; experience with systems-level languages such as C/C++ or Rust is a plus).
• Fluent communication in English.
   

Advantage will be

• Experience building cloud-independent AI platforms or migrating workloads away from managed cloud services.
• Familiarity with composing AI stacks from open-source components rather than relying on managed services.
• Experience with agent-based systems, reinforcement learning, or LLM-based applications.
• Understanding of semiconductor manufacturing processes and data pipelines.

Why you should work for KLA

The Dresden office is located in the city center with a great view from the terrace and a perfect transport connection.

You will receive a permanent employment contract with flexible working hours and option to work up to 2 days a week from home.

We offer a competitive compensation and benefits package including yearly bonus, company pension schemes and stock purchase program.

Besides the common benefits (team events, fruits, drinks, football table, XBOX) you can park your car or bike in the garage, learn or improve your languages skills or visit a semiconductor fab.

If you are interested in this opportunity, we invite you to submit your application by clicking the “Apply” button. Please note that your application should be written in English.

KLA is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement 

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.