Process Engineer - AI/Data Science

The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam’s etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The impact you’ll make

Join Lam as a process engineer – AI/Data Science embedded in an experimental-focused process team, where you'll design, develop, and program methods to analyze unstructured and data into actionable insights. You’ll engage in lab experimentation on Lam’s products and develop advanced test vehicles to generate data input for analysis. You'll develop algorithms and automated processes to evaluate complex data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

What you’ll do

This position is for a process engineer with AI/Data Science specialization within the Selective Etch Product Group based on Fremont, CA.

• 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.

Who we’re looking for

• 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 qualifications

• 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.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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