We are looking for an

Algorithm Scientist


Role Description

Nova Ltd. is a leading innovator and key provider of metrology solutions for advanced process control used in semiconductor manufacturing. Our products are used in-line by leading chip foundries as well as original equipment manufacturers. Nova’s technology serves critical sectors of patterning, thin film deposition, CMP and diffusion in leading logic and memory fabs worldwide.

Nova is looking for a scientist or engineer with strong applied math skills to participate in the research and development of Nova's products and solutions for the advanced process control market. The position will collaborate across disciplines to create, implement, and evaluate data analysis algorithms, primarily for extracting metrology results from spectroscopy and other data sets, and for instrument calibration and automated instrument optimization. The algorithm engineer will prototype algorithms, typically in a scientific computing environment such as Python. The ideal candidate will possess, in addition to experience developing algorithms, familiarity with analytical, metrology or imaging instruments, and experience in an experimental field, such as physics, chemistry, materials science or biology. Experience with machine learning and big data is a plus.

Pay Range: $110,000 - $140,000k Annually (DOE)

About us:

  • Nova provides insights into process control in the world’s most technologically advanced industry. We employ physics, mathematics, algorithms, software and hardware expertise to redefine the limits of what is possible in semiconductor manufacturing.
  • We invite you to join our dreamers and winners and brilliant high- aimers who see impossible as the starting point to exciting challenges, and work together in multidisciplinary global teams to find answers.
  • We dive deep to extract unique insights and provide our customers and partners with crucial decision-making data. Each and every one of us helps redefine what people can achieve through technology.

Why Nova:

  • Certified Best Places to Work from "Great Places to Work" in 2022 & 2023 (Rated by our employees) Top 30 in our industry category 
  • Doubled in revenue from 2020 to 2022
  • Customer focus: We value building strong relationships. You'll be the face of Nova, working closely with customers to understand their needs.
  • Continuous learning: We're passionate about growth. You'll gain in-depth knowledge of cutting-edge metrology tools, participate in industry trainings, and receive ongoing mentorship from experienced engineers. 


  • Develop, implement, and test algorithms for new products and/or new applications.
  • Work with marketing and applications teams to define features, algorithm outputs and quality metrics.
  • Plan, execute and document validation tests.
  • Collaborate with the applications team and key customers to developed advanced algorithms that extend the capabilities of existing products.
  • Validate algorithm functionality, understanding limits to capability,
  • Investigate improved or novel quantitation methods.
  • Support engineering, manufacturing, and applications teams to address issues related to data quality, calibration, and algorithm performance.


  • MS or PhD in Physics, Chemistry, Applied Mathematics, or a related Engineering field required ( 3-5 years of experience with an MS or 0-3 years of experience with a PhD).
  • Excellent problem-solving skills – the ability to algorithmically address complex problems which involve a mix of system/hardware with customer-related applications.
  • Strong familiarity and demonstrated proficiency with Python and/or MATLAB programming language.
  • Knowledge and familiarity of statistical “best practices” and methods for data analysis.
  • Strong verbal and written communication skills.

Desired skills:

  • Knowledge of the semiconductor process and process control market and technologies.
  • Experience with semiconductor metrology (SIMS, XPS, XRF) is desirable. System-level familiarity with spectroscopy, metrology, or imaging systems is a plus.
  • Software development experience, including big data analytics, machine learning, version control with Git.
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