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Staff Software Engineer

Onto Innovation

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Location
Hwasung-Korea, Korea, Republic of · Icheon-Korea
Workplace
Onsite
Type
Full-time
Department
Engineering
Seniority
Senior
Experience
5+ years
Education
PhD
Source
Workday

Description

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 an advanced algorithm group within the Inspection Business Unit (IBU). The position will report directly to the engineering team at Onto Innovation.

  • 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 advanced algorithms for Onto’s inspection systems. A key aspect of the role involves working directly with customers onsite to identify performance improvement opportunities and leading the implementation of solutions that enhance system capabilities. Candidates must demonstrate the ability to independently implement and validate algorithms based on real-world system behavior.

  • 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 image quality and error budget base on algorithm design and performance.

  • The candidate must have excellent problem solving and communication skills. 

  • Proficiency in at least one numerically oriented programming environment such as Python or MATLAB is required, with experience using native libraries for linear algebra, image processing, and machine learning. A strong foundation in data science is preferred, along with demonstrated experience deploying machine learning algorithms into real world production environments.

  • 75% travel, 65% in Korea/10% International travel.

Qualifications

PhD or MS or Bachelor in EE, Computer Science, Applied Math or related field, 5 to 10 years of experience.

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 Purchase Program (ESPP) 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., 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.

Skills

PythonMATLABMachine LearningComputer VisionData Science

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