Process & Product Engineers

About the Role

Join the Etch Product Group at Lam Research, where innovation meets impact. This group designs and engineers etch products, shaping the future of technology and tackling challenges in the semiconductor industry. You will work alongside brilliant minds, gain hands-on experience with cutting-edge tools, and see your ideas come to life. This position is located in Fremont, CA.

Key Responsibilities

Process Engineering

• Conduct process engineering research, development, and evaluation for semiconductor equipment and systems.
• Review and enhance processing techniques and methods for product manufacturing and fabrication.
• Develop and sustain new processes and process improvements to reduce production costs and increase yields.
• Compile and analyze test data to establish next steps in process development and determine appropriate limits and variables for process specifications.
• Collaborate internally to plan, collect data, analyze results, and report on customer demos for existing process applications.

Product Engineering

• Collaboratively engineer innovative semiconductor equipment and process design solutions to quickly resolve customer issues and improve product quality in a dynamic, fast-paced, challenging environment.
• Support product development from prototyping, development, deployment/product release, and initial field support.
• Design and conduct experiments, tests, and prototypes to resolve complex technical problems.
• Collaborate with cross-functional and cross-cultural teams to guide product specification and development.
• Provide technical support for installation and/or diagnosis, troubleshooting, repair, and debugging of complex product issues.
• Work in a cleanroom lab and/or customer semiconductor fab environment.

Requirements & Tech Stack

Minimum Qualifications

• Bachelor’s or Master’s degree in Material Science, Electrical Engineering, Mechanical Engineering, Optics, Physics, Chemistry, Chemical Engineering, Software Engineering, Modeling Engineering, Computer Engineering, Data Science, RF Engineering, Plasma Engineering, Plasma Physics, Nuclear Engineering, Aerospace Engineering, or any related field.
• Experience with Data Science, Machine Learning, and/or Artificial Intelligence methodologies, tools, and applications.
• Currently pursuing a Bachelor's or Master's degree with an expected graduation date between December 2026 and June 2027.
• Must be legally authorized to work in the United States without sponsorship. This position is not eligible for employer sponsorship.

Preferred Qualifications

• Master’s degree in Material Science, Electrical Engineering, Mechanical Engineering, Optics, Physics, Chemistry, Chemical Engineering, Software Engineering, Modeling Engineering, Computer Engineering, Data Science, RF Engineering, Plasma Engineering, Plasma Physics, Nuclear Engineering, Aerospace Engineering, or any related field.
• Previous internships are preferred.
• Familiarity with working in a laboratory and on semiconductor equipment with knowledge in surface preparation and analytical techniques.
• Prior product design and technical engineer experience is beneficial.
• Experience designing, specifying, building, operating, and maintaining semiconductor, automotive, aerospace, or related hardware, tools, and equipment.
• Experience coordinating and communicating with cross-functional teams.
• Understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE).
• Proficient in MATLAB, Python, or other similar scientific computing languages.
• Working knowledge of statistical analysis and problem-solving methodologies.
• Experience with statistical tools (JMP, Minitab, etc.).
• Knowledge of material synthesis and material characterization.