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Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work.

Engineering Intern 3 (106962)

Date: Jun 2, 2018

Location: Fremont, CA, US, 94538

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Essential Functions and Duties          

Provide direct assistance and contributions in enabling, developing, and supporting activities in plasma modeling & diagnostics with existing and/or new modeling platforms in the Conductor Etch C&F group. Internship work is expected to enhance existing modeling capability and guide design activities for capacitively and inductively coupled plasma reactor operations.

 

Required Qualifications       

Prefer a candidate who is currently pursuing a Ph.D. in any one of following disciplines:
Chemical / Electrical Engineering, Computational Plasmas, Physics, Materials Science, Plasma Physics

 

Skills, Knowledge and Abilities

  • Expertise in computational plasmas, physics of RF sheath behavior, electromagnetics, plasma chemistry
  • Sound knowledge of plasma material processing, plasma physics and diagnostics
  • Proficiency in computational sciences, numerical methods, and optimization
  • Expertise in coding and GUI development: Fortran/C/C++, OpenMP/CUDA, Python/Matlab, Compilers
  • Ability to develop from scratch particle-in-cell charged particle and electron trajectory simulations
  • Knowledge and proficiency in HPEM/nonPDPsim plasma modeling platforms, their source code, problem setup and troubleshooting for ICP & CCP systems
  • Knowledge and experience in data science/machine learning also preferred but not required
  • Ability to quickly learn and master new software tools
  • MS-Powerpoint, MS-Word, MS-Excel, Origin, JMP and other data processing software
  • Strong communication, analysis, and presentation skills
  • High energy, self-motivated, quick study with flexibility
  • Ability to work in fast-paced, results-oriented, cross-functional and matrix-managed environment
  • Provide regular meetings, daily updates and internal presentations
  • Meet project deliverables and requirements on time

 

Internship is expected to be for 3-4 months but can be extended if needed

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