• Predict, measure and analyze the reliability of mechanical designs, process specification and software programs for semiconductor manufacturing equipment.
• Determine reliability of in service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
• Use advance statistical, probabilistic and forecasting methods to best quantify reliability of overall system.
• Work directly with mechanical, electrical, process and software engineers to define reliability improvement plans, advanced testing methods such as HALT (Highly Accelerated Life Testing), and HASS (Highly Accelerated Stress Screening).
• Develop methods that allow for correlation of these accelerated life testing methods to actual expected in service lives.
• Data driven reliability through AI/ML methods, Utilizing DOE, Optimization, and statistical methods to create predictive reliability models.
• Stochastic optimizationtools to bridge between simulation and experiments.
• Teach classes within Lam Research in Reliability, FMEA and statistical methods.

• Advisedesign engineering on selection, application and test of electronic components and systems.
• Recommenddesign or test methods and statistical process control procedures for achieving required levels of product reliability.
• Determinereliability requirements of components and systems to achieve company, customer and any governmental agency reliability objectives.
• Developnew acceleration techniques and analytical tools to assure the early identification of potential problems with new products, packaging, processes, and product reliability.
• Makerecommendations for changes in the selection and application of components and systems. May propose changes in design or formulation to improve system and/or process reliability.

• PhD in Reliability Engineering, Mechanical Engineering or related fields with reliability and statistical emphasis is required.
• Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
• Preferred knowledge of semiconductor metrology methods and employing sensors and hardware designs in a vacuum environments is a plus.
• Ability to work with a team to own and design concepts and drive design decisions.
• Leading and conducting design reviews in cross functional and matrixed environments.
• Prior experience and/or research in the subjects above is a big plus.
• Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
• More experienced candidates are welcome to apply, salary and grade will be adjusted.

• Knowledge of AI/ML algorithm development, python, or related programming languages.
• Working knowledge of Reliability software, ReliaSoft, BlockSim, MADe, Data mining or other applicable software.

Lam Research is a leader in the world of Semiconductor capital equipment and is committed to the growth and development of bright and industrious engineers. 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.We look forward to working with you!

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.