Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Overview

PDF Solutions (NASDAQ: PDFS) offers an end-to-end analytics platform that empowers engineers and data scientists across the semiconductor ecosystem to rapidly improve the yield, quality, and profitability of their products. By combining industry-leading data analytics and professional services with exclusive, differentiated product data generated during the manufacturing process, PDF Solutions is delivering on the promise of Industry 4.0 today by transforming how the ecosystem collects, analyzes, and shares data.

Key Fortune 500 organizations around the world rely on PDF Solutions to remove the data barriers that encumber and constrain new product introductions and to deliver the machine learning insights that drive efficient and profitable high-volume manufacturing. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

The main objectives of this position is to develop and maintain data analysis applications using AI/ML and analyze data using data science skills to develop AI/ML models.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Create, document, and maintain application software that analyzes data raised during equipment operation and provides applicable information to the users of the equipment.
• Do initial data analysis on equipment data – filtering data, transforming data, and finding the right AI/ML algorithms in the given situation.
• Participate in iterative development process with cross-functional teams.
• Participate in activities such as collaborative coding, unit testing, and compliance with coding standards to enhance quality of produced software.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES

• Design and coding skills in Python, C# or C++.
• Understanding of software development life cycle.
• Fundamental understanding in Data Science, AI, and ML.
• Ability to work in a collaborative, team-oriented environment.
• Ability to learn new technologies and skills quickly.
• Excellent written and verbal communications skills.
• Ability to understand customer’s requirements and client-oriented mindset.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

• Practical development and/or research experience in data science using AI/ML.
• Understanding of cloud technology and cloud platforms.
• Understanding of modular and object-oriented design principles.
• Experience developing software using revision control software (git or TFS).
• Agile/Scrum software development methodologies and experience.

EDUCATION AND EXPERIENCE

• Bachelor of Science in Computer Science, related engineering degree, or proven industry experience, preferred focus on AI/ML.
• 3+ years of experience in software engineering in general, and 2+ (for Bachelor's) and 1+ (for Master's or above) years of experience for developing application software or applications using AI/ML.

USD $ - USD $ /Yr.