דרושים Experienced Python Developer ב-Applied Materials ב-Israel, Rishon Lezion

What’s in it for you?

• Work with the best : Join a team of algorithm masters and researchers who are passionate about solving complex computer vision and deep learning challenges.
• Innovate at scale : Contribute to the development of cutting-edge detection algorithms that power the next generation of optical wafer inspection tools.
• End-to-end impact : Be involved in the full lifecycle—from concept and feasibility to implementation and integration—of algorithms that directly influence product performance.
• Shape the future : Your work will help enable the production of advanced microchips, driving innovation across industries from AI to consumer electronics.

What you'll be doing:

You will be leading research, design, development, and implementation of algorithmic modules. You will perform algorithmic concepts and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraint.

• Understanding computer vision and machine learning / deep learning algorithms for image analysis, image registration, pattern recognition, object detection andclassification.
• Prototyping algorithms approach solving complex problems and drive integration of new algo solutions to product.
• Develop and implement algorithms, support the SW team in integration and evaluation.
• Algorithm optimization to reduce computational cost and influence hardware requirements.

What should you have?

• Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning.
• 10+ years of experienceand strong background in computer vision, image processing, and DL technology.
• Expertise in C/C++, Python, and working experience with Pytorch or similar framework.
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• Experience working in the Semiconductor industry – an advantage.

Job Description

As an FGPA engineer, you will implement this cutting-edge technology on a daily basis and enjoy the fact that it relates in some way to almost every important field in Applied Materials: control, algorithms, and machine learning. You will experience and present modular architectural approaches to FPGA applications with a high emphasis on testability.

Our Group:

The FPGA group designs, implements, and integrates applications from low end to high end in every aspect needed, from complex digitizers with high speed, low noise, accurate controllers, high end synchronizers to our machines, High speed/end frame grabbers to algorithm enhancement for different applications in our tools.

Whatyou'll be doing:

• Understand the existing FPGA architecture and interactions between the various modules comprising the system.
• Conceive, experiment with, and present modular architectural approaches for FPGA applications with high emphasis on testability.
• Work closely with software, hardware, system teams, providing documentation, debug support, technical expertise, and software interfaces
• Develop RTL code for additional functionality and capabilities. Perform logic synthesis, timing analysis and timing closure.
• Develop test bench and simulation tools to verify correct logical functionality.
• Understand schematics, performing lab test on designs and components, troubleshooting, and improving building block modules.

What you should have?

• BS/MS in Electrical Engineering, Computer Science, or related area
• Over 5 years of experience designing FPGA in VHDL or Verilog.
• Practical knowledge of RTL design, synthesis, timing closure, simulation, and verification test benches
• Hardware bring up and debug experience desired
• Expertise in FPGA from Xilinx/Intel (Altera) families.
• Familiarity with high level programming languages f.e C/C++, System Verilog, High Level Synthesis, Scripts (TCL, Python) – big advantage
• Familiarity with AXI methodology
• Familiarity working with verification engineers using UVM environment
• Ability to work in a team and take input from other members in coordinating work
• Ability to prioritize work assignments and react to a dynamic work environment
• A strong analytical and problem solver abilities with excellent verbal and written communication skills

What We Offer

Challenging development of analog boards and high precision modules, that are integrated in our products. In this position you will need to have knowledge in accurate and low noise amplifiers, high speed high resolution A2D & D2A, low noise circuits with high dynamic range, DC-DC, etc…

High level theory and very challenging practical work using the latest high end technologies and a combination of research activities in various fields.

Our Group:

Analog Electronics group develops high end analog electronic designs for our wafer inspection tools for the semiconductor field. The group members incorporate multidisciplinary fields (Physics, Electronics, Mechanics) into advance Technology products.

Whatyou'll be doing:

• Full responsibility for leading the mission from start to finish. modeling and simulating, design, lab tests, system debugging and integration.
• Work closely with multiple groups across the organization – Elec, Mech, SW, FW, Physics.
• The modules are integrated into an advanced wafer test system for the semiconductor field.
• The candidate must understand the system and principles of operation.

• B.Sc/M.Sc/ Ph.Din Electrical Engineering (to specialize in analog circuits.)
• At least 5 years, of proven experience in development of analog precision and low noise circuits.
• Development of analog board design, high speed, low noise op amp, filters, A2D and D2A circuits.
• Experience in power supplies (DC-DC) and current sources. Fast response, low noise.
• Experience in grounding and EMI
• Experience in ORCAD design tools and simulation of electrical circuits based on SPICE (PSPICE, LT SPICE)
• Experience in electromagnetic field simulation tools (CST) - an advantage.
• Ability to write and view specifications, test documents and development verification.

What’s in it for you?

• Working in a challenging and interesting environment.
• Working with the latest technologies and hardware.
• Working in a learning and supportive environment.
• The ability to understand and learn low-level of technologically.
• The ability to learn and evolve on a personal level.
• The ability to challenge and find weaknesses based on our developments and hardware we work with.

Whatyou'll be doing:

You will develop automation in the computing systems and infrastructures in the IT environment for closed systems, you will get full responsibility for the computing, operating systems, and infrastructures on our products, and you will be the owner of the procedures and testing as a development unit (RnD) that transfers the solution to the production floor.

Our team is also responsible for providing support to the Applied Materials software group - which needs and is required to install third-party software or request ad-hoc solutions that we provide by installing software that is required for the benefit of the product, and this is done by automation or procedures that we are the owner of them.

What should you have?

• At least 8-year work experience in hi-tech industry – System and Active Directory – Must
• B.Sc. in Computer science field or any related field – Must
• Ability to lead a tasks and missions without direct supervision – Must
• Ability to present things in a technically clear way – Must
• Can do approach - Must
• Strong Hands-on experience Windows & Linux based platform
• Ability to writing a technical procedure
• PowerShell and automation scripts
• Strong experience in Storage system (SAN/NAS)
• Experience with Microsoft Server technology, including SQL Server, IIS, GPO, and Active Directory
• Strong experience in Network Infrastructure and firewall’s
• Strong experience in Virtualization systems
• MCSE / MCSA

Algorithm research

Working on highly innovative technology in the semiconductor industry.

It involves, deep mathematical background, signal processing and estimation, model analysis and multidisciplinary knowledge from physics and algorithms.

Our Group:

Patterning, MesoVision group

Whatyou'll be doing:

• Algo Research and implementation in the fields of Computer vision, Machine learning and Deconvolution of 3D structures
• Develop statistical models including error bounds

What you should have?

• Experience in Computer Vision: Registration and segmentation
• Experience in signal processing and estimation theory: Statistical modeling, Maximum likelihood, etc.
• Experience in Machine Learning: Error bounds, algorithms and optimizations
• Experience in SEM imaging: an advantage

Job Description

You will tackle some of the most challenging problems in the field of imaging and metrology. You will have the opportunity to innovate and develop ideas from their inception, shaping them into viable products. You will be part of a small, talented, multi-disciplinary team working in a startup mode but with the support of a large and strong organization. You will enhance your skills in optical and SEM-based metrology, understand complex systems and designs, and gain experience with advanced algorithms.

Whatyou'll be doing:

• Developing state-of-the-art algorithms for 3D reconstruction of semiconductor devices.
• Develop models to enhance physical insights that utilizes into future product core algorithms.
• Simulating system behavior and optimizing metrological approaches for different customer problems.
• Analyzing experimental results and developing methods to bridge the gap between experiments and theoretical models.
• Being part of a path-finding team that incubates new solutions and paradigms.

What should you have?

• M.Sc. or higher in Physics, Electrical Engineering, or Computer Science.
• Proven experience with data analysis and deriving practical conclusions through collaboration.
• Strong theoretical foundation and hands-on experience with image/signal processing/machine learning / estimation theory.
• SW skills including programing in Python or MATLAB.
• Team player with project leadership qualities. Ability to work independently as well as part of a team.

Advantage:

• Over 5 years of experience as an algorithm developer in a multi-disciplinary company.
• Track record of leading development projects.
• Strong background in physics, preferably PhD – a significant advantage.
• Experience with nonlinear of fitting of theoretical models to experimental results.
• Experience with SW definitions of SW architecture..
• Experience with utilizing AI generative models and architectures (for example using PyTorch or TensorFlow).

to be updated later before publication

What We Offer

You will be part of a great team working together to develop the tools which enables the future.

Key Responsibilities

• Our challenge is the development of detection system for wafer inspection.
• Solutions are based on state-of-the-art algorithmic methodologies from the field of Image Processing and Computer Vision Machine/Deep learning.
• Create innovative products and see them launched and Learn and use advanced technologies.
• As a member of the group you will initiate, design and develop SW solutions for the algorithmic flow.
• You will make important technical decisions, ensure scalability and performance of our applications.
• Awesome working environment and great terms for the right candidates!
• 100% Hands On.

Skills and Experience

• BSc in Computer Science or related technical discipline.
• At least 3 years of experience in Python or C++ programming for complex SW systems.
• Experience deploying Deep Learning models – advantage.
• Experience designing and deploying large-scale SW solutions- advantage.
• Experience in Image Processing/Computer Vision & optimizations – advantage
• Excellent system vision and understanding.
• Excellent teamwork and ability to lead, guide and mentor algo developers.
• Self-motivated, works well without supervision, sees commitments through completion.
• Innovative, Capability of learning and adoptive modern technologies