Lam Research develops semiconductor etch and deposition products and is seeking a Process Engineer specializing in AI and Data Science. The role combines semiconductor process engineering, laboratory experimentation, predictive modeling, machine learning, and analysis of complex data to generate actionable insights and support data-driven product decisions.
Responsible for performing professional process engineering research, development, and evaluation in support of the company’s complex semiconductor capital equipment and systems
Primary focus from concept and feasibility through onsite equipment evaluation with a balanced approach between advanced data science and 'hands-on' experimentation
Develop predictive models derived from early experimentation to infer physical mechanisms within a collaborative multi-disciplinary team
Develops advanced test vehicles and applies systematic root cause analysis.
Compiles and evaluates test data to determine appropriate limits and variables for process specifications
Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise
Qualification
Required
Ph.D. or Master's degree in chemical engineering, materials science, chemistry or engineering physics with a strong background in advanced data science and machine learning with a minimum of 0-2 years work experience
Demonstrated expertise and experience in data science, machine learning, artificial intelligence or advanced analytics
Experimental laboratory experience to refine data collection and analysis
Candidates with advanced degrees in Data Science, Statistics, Computer Science, Engineering, or Applied Mathematics will be considered if they have demonstrated experience applying data science techniques to experimental, engineering or semiconductor problems
Preferred
Expertise applying AI and machine learning methodologies to physical systems
Experience unifying experimental results into predictive models for actionable insights
Experimental laboratory experience in semiconductors
Chemistry laboratory experience
Knowledgeable with statistical analysis and modeling including Statistical Process Control (SPC), Design of Experiments (DOE) and other data science methodologies
Surface science knowledge a plus
Strong organizational skills and demonstrated ability to manage multiple tasks simultaneously and ability to react to shifting priorities to meet business needs and deadlines
Excellent people skills with demonstrated ability to work effectively and efficiently with diverse teams, customers, internal and external partners
Collaboration/ Matrix environment mindset
Benefit
Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.
