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).
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 time
Employee Type
Assignee / Regular
Travel
No
Relocation Eligible
No
Applied 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.
