About
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips.
The Group
We are part of the R&D department of a major brand new and exciting Product, responsible for developing the next-generation software and algorithm solutions that will power Applied Materials' cutting-edge metrology and inspection system. We work in a fast-paced environment. We are looking for an experienced Senior Software Engineer with expertise in real-time image processing algorithms for our Image Processing SW and Algo team. You will join a strong team of software and algo engineers and own the architecture, design, and implementation of real-time image processing algorithms running on a distributed system. You will work in the intersection between the application software development and the algorithms.
As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.
Responsibilities
•Stay deeply hands-on while owning project-level design for complex, stateful algorithmic workflows.
•Design, optimize and implement image processing algorithms and workflows.
•Work closely with algorithm engineers to improve algorithms and adapt them to real-time operating.
•Run performance analysis and benchmarks, use profiling tools to profile algorithm operation across computers and devices.
•Apply data science methods to real measurement data: design experiments, analyze results, quantify system performance with sound metrics.
•Collaborate closely with Application Software developers and with System / Hardware teams to design and implement SW workflows and APIs.
Requirements
•8+ years of strong experience in Python and C++.
•Numerical algorithms and optimization, image processing fundamentals, and familiarity with hardware control or instrumentation software.
•Knowledge and experience in CPU low-level optimization.
•Knowledge and experience in GPU data flow optimization and CUDA.
•Hands-on experience in developing both algorithms and supporting frameworks.
•Knowledge and hands-on experience working with performance profiling tools.
•Solid engineering practices: e2e, regression, and automated testing, code review, CI/CD.
•Product mindset - understanding of customer needs and business impact.
•B.Sc. in Computer Science, Engineering, or a related field, or equivalent industry experience.
•M.Sc. in CS, Software Engineering, EE, or a related field.
•Proven track record of excellence - academic, military, or professional honors, awards, or recognition for outstanding achievements.
•Electron microscopy or semiconductor equipment experience.
Additional Information
•Time Type: Full time
•Employee Type: Assignee / Regular
•Travel: Not Specified
•Relocation Eligible: No
Conditions
Location: Rehovot, ISR. You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
