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Sr Algorithm Engineer

1 month ago

Wilmington, United States Onto Innovation Full time

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 individual for an engineer position in the elite algorithm group within the Inspection Business Unit (IBU). The candidate must be able to connect their understanding of complex hardware/software systems, customer needs, and algorithms to select the optimal approach to hit the performance and throughput requirements. This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into Onto’s innovative inspection platforms. Responsibilities of this position include developing optical imaging modeling/calibration and/or developing image segmentation, classification or detection algorithms for the Onto inspection systems. This person is encouraged to bring forward creative ideas, develop production code, and provide support as needed. This candidate shall be able to work independently and provide recommendations to the hardware group on image quality and error budget based on algorithm design and performance. Significant experience is required shipping solutions that use machine learning algorithms, ideally in compute constrained environments. The candidate is encouraged to have excellent problem-solving and communication skills. The candidate is expected to stay up to date with academic research and current industrial practices in machine vision inspection, image processing, and machine learning. 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. Qualifications Minimum Qualifications PhD or MS or Bachelor in EE, Computer Science, Applied Math 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. Onto Innovation Inc. offers competitive salaries and a generous benefits package, including health/dental/vision/life/disability, PTO, 401K plan with employer match, and an Employee Stock Ownership Program (ESOP) along with health & wellness initiatives. We provide a collaborative working environment along with resources and state-of-the-art tools & equipment to promote success; and a welcoming, inclusive corporate culture where individuals are recognized for their contributions. Onto Innovation Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. For positions requiring access to technical data, Onto Innovation Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. #J-18808-Ljbffr