Senior R&D Scientist

Onto Innovation

About The Position

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities Onto is seeking a motivated Senior Algorithm Scientist for an engineer position in the elite algorithm group within the Metrology Business Unit (MBU). The candidate must be able to demonstrate strong background in physics or mathematics, computational methods and algorithms design and software development, solid understanding of the fundamental numerical methods and algorithms used to solve problems in linear algebra, non-linear optimizations, probability and statistics, signal and image processing and machine learning, as well as ability to connect them to better understanding of complex hardware/software systems, to identify the optimal approaches to meet the performance requirements. Should be competent with at least one numerically focused programming environment such as Python or MATLAB using the native linear algebra, image processing, and machine learning libraries. Should also have experience deploying algorithms in traditional languages such as C, C++, C# and CUDA. This individual will apply their skills to develop algorithms and software solutions implementations into Onto’s innovative optical and opto-acoustic metrology/inspection, and material characterization platforms. Responsibilities of this position include: develop data analysis, numerical modeling, signal and image processing solutions from prototypes to the product software supporting measurements, calibrations, and imaging functions of the onto metrology, materials characterization and inspection systems. The candidate is encouraged to have excellent problem solving and communication skills. This person is encouraged to bring forward creative ideas, develop production code and support as needed. This candidate shall be able to work independently and provide recommendations to the hardware group on error budget based on algorithm design and performance. The candidate is expected to stay up to date with academic research and current industrial practices in digital signal processing, machine vision, image processing, and machine learning. Qualifications PhD or MS or Bachelor in EE, Computer Science, Applied Math, Physics or related field. Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years. Why Join Onto Innovation? At Onto Innovation, we believe your work should matter—and so should your well-being. That’s why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we’ve got you covered. You’ll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools—all within a collaborative, inclusive culture where your contributions are valued and recognized. Compensation & Growth • Base Salary Range: $102,400.00 - $153,600.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success. Empowering Every Voice to Shape the Future: Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team. Important Note on Export Compliance For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3). Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain help our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient. Headquartered in Wilmington, Massachusetts, Onto Innovation supports customers with a worldwide sales and service organization. Additional information can be found at http://www.ontoinnovation.com.

Requirements

PhD or MS or Bachelor in EE, Computer Science, Applied Math, Physics or related field.
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.
demonstrate strong background in physics or mathematics, computational methods and algorithms design and software development
solid understanding of the fundamental numerical methods and algorithms used to solve problems in linear algebra, non-linear optimizations, probability and statistics, signal and image processing and machine learning, as well as ability to connect them to better understanding of complex hardware/software systems, to identify the optimal approaches to meet the performance requirements.
competent with at least one numerically focused programming environment such as Python or MATLAB using the native linear algebra, image processing, and machine learning libraries.
experience deploying algorithms in traditional languages such as C, C++, C# and CUDA.
excellent problem solving and communication skills.

Nice To Haves

Significant experience in development and deployment of data analysis, signal and Image processing, computer vision, machine learning solutions, in compute constrained environments is a plus.
Experience with instrumentation development within industry or academia is a plus.
Experience in the semiconductor manufacturing and processing is not required but may be beneficial.

Responsibilities

develop data analysis, numerical modeling, signal and image processing solutions from prototypes to the product software supporting measurements, calibrations, and imaging functions of the onto metrology, materials characterization and inspection systems.
bring forward creative ideas, develop production code and support as needed.
work independently and provide recommendations to the hardware group on error budget based on algorithm design and performance.
stay up to date with academic research and current industrial practices in digital signal processing, machine vision, image processing, and machine learning.

Benefits

competitive salaries
comprehensive benefits package designed to support you and your family.
health, dental, and vision coverage
life and disability insurance
PTO
401(k) with employer match
Employee Stock Purchase Program (ESPP)
wellness initiatives
cutting-edge tools
collaborative, inclusive culture where your contributions are valued and recognized.
Annual bonus opportunities and potential long-term incentives tied to both company and individual success.