Who We Are
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 that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.
What We Offer
Location:
Rehovot,ISRYou’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. Visit our Careers website to learn more.
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. Learn more about our benefits.
We are looking for an experienced Senior Software Engineer to build the calibration systems software for advanced electron microscope columns.
The role
You will own the architecture, design, and implementation of software that combines scientific computing, image processing, and distributed systems to enable fully automated calibration workflows - working at the intersection of software engineering, physics, and real laboratory hardware, under stringent performance requirements. The team is part of the R&D department
behind a major new product, developing the next generation of software and algorithm solutions that will power Applied Materials' metrology and inspection systems.
What you'll be doing:
• Stay deeply hands-on while owning project-level architecture for complex, stateful calibration workflows.
• Build end-to-end, full-stack services - from concurrent, iterative hardware control loops up to the operator-facing UI.
• Own algorithms end to end - research, design, implement, validate, document, optimize - across numerical methods, computer vision (registration, pattern matching, tracking), and performance-critical real-time image processing.
• Apply data science methods to real measurement data: design experiments, analyze results, quantify system performance with sound metrics.
• Build and evolve the AI-specific infrastructure of our physics-informed SDLC harness-agents, tools, context and evaluation pipelines.
• Develop hardware simulation and monitoring tools that support the team algorithm development and automated testing.
• Work closely with physicists to validate and refine calibration workflows and algorithms, and with Product, Design, and other R&D teams to ship them.
What you should have:
• 5+ years of professional software development
• 2+ years of R&D experience (algorithms / ML), including end-to-end ownership of meaningful features and projects.
• Deep concurrency expertise: designing concurrent execution models, parallelism, and multi-threaded dispatchers - and reasoning about their failure modes, tradeoffs, and performance under load.
• Strong system design: microservices and distributed systems, API design, message queues or event streaming (delivery semantics, ordering, failure handling).
• Numerical algorithms and optimization, image processing fundamentals, and familiarity with hardware control or instrumentation software.
• AI engineering: hands-on experience building with LLMs and agents - prompt and context engineering, tool calling, retrieval, evaluation - and a genuine drive to stay current.
• Solid engineering practices: e2e, regression, and automated testing, code review, CI/CD, virtualization (Docker).
• A product mindset - you understand customer needs and business impact.
• B.Sc. in Computer Science, Engineering, or a related field, or equivalent industry experience. Preferred backgrounds: computational physics, applied mathematics, image processing, optics, microscopy, signal processing, numerical analysis.
Nice to have:
• M.Sc. in CS, Software Engineering, EE, or a related field.
• A proven track record of excellence - academic, military, or professional honors, awards, or recognition for outstanding achievements.
• Electron microscopy or semiconductor equipment.
• Experience with advanced performance profiling and optimization.
• Experience with advanced concurrency models in another backend language (C++, Java, Kotlin, Go, Rust).
Technology stack:
Our current R&D-phase stack — representative, not a checklist.
• APIs: FastAPI, Uvicorn, Pydantic, WebSockets.
• Algorithms: NumPy, SciPy, scikit-image, Matplotlib, Pillow.
• Hardware: pyserial, cffi, vendor device SDKs.
• Backend: SQLAlchemy, InfluxDB.
• Frontend: Dash, Plotly, PySide6, qasync.
• AI Provider: Anthropic / OpenAI.
• Testing and tooling: pytest (asyncio, mock, benchmark, coverage), mypy, Docker, Git.
Who we are:
Applied Materials Israel is home to the Process Diagnostics and Control business unit (PDC).
Based in Rehovot, we develop, manufacture, and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication. By playing a significant role in enabling the production of the next generation of microchips, our expertise enables our customers to transform possibilities into reality.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
NoRelocation Eligible:
NoApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Skills Required
- 5+ years of professional software development experience
- 2+ years of R&D experience in algorithms or machine learning
- Experience owning meaningful features and projects end to end
- Deep expertise in concurrency, parallelism, multithreaded dispatchers, and performance under load
- Strong system design experience with microservices, distributed systems, APIs, message queues, or event streaming
- Knowledge of numerical algorithms, optimization, image processing, and hardware control or instrumentation software
- Hands-on experience with LLMs and AI agents, including prompt engineering, context engineering, tool calling, retrieval, and evaluation
- Experience with end-to-end, regression, and automated testing, code review, CI/CD, virtualization, and Docker
- Product mindset and 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
- Experience with electron microscopy or semiconductor equipment
- Experience with advanced performance profiling and optimization
- Experience with advanced concurrency models in C++, Java, Kotlin, Go, or Rust
- Academic, military, or professional honors, awards, or recognition for outstanding achievement
Applied Materials Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.
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Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
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Leave & Time Off Breadth — Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
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Equity Value & Accessibility — An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.
Applied Materials Insights
What We Do
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.








