(Senior) Research/Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

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

The Data Scientist will join advanced numerics R&D teams in Singapore and Milpitas, California. The highly self-motivated individual will work closely with data/research scientists, software developers and application scientists to innovate, prototype, validate, implement and test advanced data analysis algorithms that enhance optical metrology performance.

Roles and Responsibilities:

• Interface with application scientists and marketing to understand and analyze customers’ requirements and technology gaps.
• Work in a team or individually to innovate new concepts, develop new/improved methods and machine learning algorithms to address customers’ requirements and close technology gaps.
• Collect and analyze technical data, propose improvements, and formulate solutions.
• Conceptualize, design and fine-tune algorithms and find the best approach to solve a specific problem.
• Prototype, validate, and implement advanced algorithms that enhance optical metrology performance.
• Define new features, create software requirement documents, prepare and perform test plans.
• Play a key role in technology development and ensuring customer adoption for optical metrology data analysis solutions

Qualifications

• Ph.D. or equivalent (MS with at least 3 years’ experience) in an engineering discipline or appropriate physical science
• 2+ years’ experience in machine learning research/engineering or related areas
• Strong programming skills in Python/Matlab/R
• Extensive experience with ML frameworks/libraries such as scikit-learn, Tensorflow, Caffe, and PyTorch
• Strong sense for innovative and creative approaches to solve machine learning problem statements
• Experience in the semiconductor or related manufacturing industry is a strong plus
• Experience and knowledge in one or more of the following areas is a strong plus: statistics, estimation and optimization, signal processing, and data visualization.
• Demonstrate passion to learn new technology and competency to master new concepts
• Intellectual honesty and a sense of urgency in driving projects to completion
• Excellent communication skills, ability to concisely present findings to both internal and external stakeholders
• Ability to travel up to 25% is preferred
• Ability to work independently in a fast-paced, iterative development environment or work within a cross-department collaborative setting (Applications, Software Development, Integration, ...)
• Experience and knowledge with scientific computing with C++ is a strong plus

Onto Innovation is committed to creating a diverse environment and is proud to be an equal-opportunity employer. We offer 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.