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Process Lead Engineer

Lam Research
Bengaluru, IND
Full-time
Hybrid
Discovered 2 days ago
Process engineeringSemiconductor equipment and processesProcess development and improvementTest data analysisMaterials scienceChemical engineering

Full Job Posting

Role overview

The role develops process formulations and defines equipment hardware requirements for Lam semiconductor products.

Work spans atomic precision, material science, surface engineering, and compatibility of processing methods.

What you’ll do

  • Conduct process engineering research, development, and evaluation for semiconductor equipment and systems.
  • Improve manufacturing and fabrication techniques; develop processes that reduce costs and increase yields.
  • Analyze test data to set process-development steps, specification limits, and variables.
  • Coordinate customer demonstrations, including planning, data collection, analysis, and reporting.
  • Support next-generation product development and release activities.
  • Provide direction and guidance to process technicians.

Minimum qualification

  • Master’s degree in Materials Science, Chemical Engineering, Chemistry, Physics, or related field with at least three years’ experience; or PhD with at least one year of professional experience; equivalent experience is accepted.

Preferred qualifications

  • Familiarity with laboratory work, semiconductor equipment, surface preparation, and analytical techniques.
  • SPC and/or DOE knowledge; statistical analysis and problem-solving methods.
  • High proficiency in MATLAB, Python, or similar scientific computing language; experience with JMP, Minitab, or similar tools.
  • Background in ALD, CVD, PECVD, PVD, plasma physics, RIE, ALE, ICP, or CCP.
  • Knowledge of material synthesis and characterization; experience collaborating with teams, customers, or partners.

Work location models

  • Lam describes On-site Flex as at least three days per week onsite and Virtual Flex as one to two days per week onsite, with remote work for the balance.
  • The description does not specify which work-location model applies to this role; hybrid classification reflects the stated role-location models.

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