Senior Software Engineer
Senior Software Engineer
Onto Innovation- Posted 2 hours ago
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Job 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
Required Education and Experience
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.
Job Summary & Responsibilities
- Develop and maintain efficient, robust software for new and existing metrology systems
- Translate customer needs into software requirements
- Maintain and improve the performance of existing software
- Quickly analyze and resolve issues reported by internal and external customers
- Recommend improvements to existing software programs as necessary
- Understand metrology tool platforms and technologies from a systems perspective
- Demonstrate effective communication skills within a diverse team
Required Education and Experience
- Master's degree in Computer Science, Software Engineering, Physics, or a related technical discipline
- 2+ years of professional software development experience
- Experience with Artificial Intelligence (AI) and Machine Learning (ML) techniques and applications
- Experience working with local Large Language Models (LLMs), on-premises AI solutions, or edge AI deployments
- Strong programming and software engineering skills
- Solid understanding of algorithms, data structures, numerical methods, and analytical problem-solving
- Experience developing software for scientific, engineering, or data-intensive applications
- Good verbal and written communication skills
- Ability to work well independently as well as in a team environment
- PhD or advanced degree in Computer Science, Physics, or a related technical discipline
- Experience developing software in C++
- Experience with numerical analysis, scientific computing, and mathematical modeling
- Experience developing algorithms for complex engineering or metrology application
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.
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Key Skills
Artificial Intelligence (AI)
Analytical Problem-Solving
Machine Learning (ML)
Large Language Models (LLMs)
Numerical Methods

