דרושים Npi Engineer ב-Kla

As an integration Engineer, You will be part of a manufacturing group and you will build and qualify innovative tools for the semiconductor industry!

Minimum Qualifications

Your job scope will include:

• Build and qualify the next-generation metrology tools.
• Implement integration processes for multidisciplinary tools, including optics, computers, electronics, mechanics, algorithms and applications
• Test and verify tool quality and performance
• Debug and troubleshoot tool performance issues
• Function in a clean room environment

Minimum Qualifications

• Practical Engineer/ BSC degree in Mechanical Engineering/OpticalEngineering/ElectronicsEngineering
• Experience in various engineering areas such as Mechanical, Electrical, Manufacturing, Equipment, Systems, or other related fields- at least 3 years.
• Broad technical system vision.
• Good level of English (reading and writing technical reports, procedures, and drawings).

Qualifications

• ​Serve as the central technical resource / interface with design engineering, manufacturing, technical support, quality, marketing and field as the product(s) move through the Product Life Cycle

• Work to optimize serviceability, reduce cost-of-service through all stages of the PLC, and improve short- and long-term product service performance.

• Drive continuous improvement of system hardware, diagnostics and software, tooling, technical documentation, knowledge management, and training

• Influence early PLC designs to include features that will optimize KLA’s service business: calibrations and diagnostics, Cost of Service (CoS), reliability, design tolerances, Intellectual Property (IP) protection.

• Participate in beta and sustaining escalation efforts, analyze data from various sources, to provide a detailed action plan suitable for execution by Customer Service Engineer (CSE) and Technical Support Engineer (TSE)

• Leverage learning and knowledge across the Technical Support organization through training classes, scripts, coaching, documents and updating other knowledge capture tools

• Work with Learning and Knowledge Services (LKS) to determine the training requirements for new products and/or upgrades. Train the trainer and teach or co-teach initial courses. Audit service training courses to ensure their quality.

• Help to define a plan, implement and optimize the spare parts that will be stocked to support field shipments. This includes taking into account reliability, diagnostics, inventory holding cost, training level and other factors

• Perform hands-on work for integration of Alpha/Beta systems, including performing serviceability validation.

Minimum Qualifications

Minimum Qualifications

Main Responsibilities:

• Participate in Design and improve state of the art motion systems (XYT sub microns high G stages / Active dumping Floatation systems / Air&Ball bearings high precision motors...)

• Lead transition projects to abroad sites

• Lead Mechatronics systems Development and Improvement projects

• Multiple sources large data analysis for evaluating system performance

• Design and improve existing Motion control loop

• Coach junior team members

• Perform and SupportAssembling/Integrating/Testingfor Motion systems, Motion test benches

• Lead FA (Failure Analysis) investigations and Field System failure Escalations

• ECOs (Engineering Change Orders) lead

• Update\write procedures

Minimum Qualifications

• Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 5 years in Motion control field and motion systems.

• Programming capabilities -MATLAB\Payton\LabView\C(one or more)

• Knowledge of control & electrical machines

• Knowledge in optics – advantage

• Project lead and Project management abilities

• Proven Training abilities

Minimum Qualifications

Qualifications

• Hands-on development using C++ and C#
• Participate in all phases of the software development lifecycle, including requirements definition and review, coding, release, integration, and customer support
• Take full ownership of assigned development tasks, ensuring timely and high-quality delivery
• Collaborate closely with cross-functional engineering teams—electrical, mechanical, optical, algorithm, system, and application—to enhance system capabilities and resolve technical issues
• Contribute to the software development of current and next-generation products, supporting industry-leading multidisciplinary systems.

Minimum Qualifications

Frontline is an established leader in the field of CAM software for PCB manufacturing. We have embarked on the exciting path of adding artificial intelligence capabilities to our products.

Responsibilities include creating machine learning models, deploying them within our existing products, retraining and maintaining them. This entails all algorithmic and software engineering aspects. To do this job successfully, you need
exceptional software engineering skillsadditionally to data science background.

Your ultimate goal will be to shape and build efficient AI applications that seamlessly integrate into our existing products.

Responsibilities

• Design and implement appropriate Machine Learning or Deep Learning algorithms and tools according to product requirements
• Full closure of development cycle from initial idea all the way to seamless integration with existing products
• Work as a team member for optimal achievement of project goals
• Select appropriate datasets and data representation methods
• Train, evaluate, and fine-tune models using both cloud and on-premise infrastructure
• Apply advanced techniques such as LLM/VLLM fine-tuning, quantization, and RAG to optimize performance and contextual accuracy
• Extend and customize ML frameworks (e.g., PyTorch) for specific use cases
• Run machine learning tests and experiments on the teams chosen platforms (on cloud & on premise)
• Perform statistical analysis and fine-tuning using test results
• Keep abreast of developments in the AI/ML field
• Attain a high degree of knowledge in the domain of PCB manufacturing

Minimum Qualifications

• BSc in Computer Science, Mathematics or similar field; Master’s degree or higher is a plus
• At least 3 years Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Outstanding analytical and problem-solving skills
• 3 years’ experience writing robust code in Python
• Familiarity with machine learning frameworks PyTorch
• Excellent communication skills, Ability to work in a team