In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Reliability Engineer 4

Date:  Jun 28, 2024

Tualatin, OR, US, 97062

Req ID:  181744
Worker Category:  On-site Flex

Job Responsibilities

  • 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 optimization tools to bridge between simulation and experiments.  
  • Teach classes within Lam Research in Reliability, FMEA and statistical methods.

Other Job Responsibilities

  • Advise design engineering on selection, application and test of electronic components and systems.
  • Recommend design or test methods and statistical process control procedures for achieving required levels of product reliability.
  • Determine reliability requirements of components and systems to achieve company, customer and any governmental agency reliability objectives.
  • Develop new acceleration techniques and analytical tools to assure the early identification of potential problems with new products, packaging, processes, and product reliability.
  • Make recommendations 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.

Minimum Qualifications

  • 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.

Preferred Qualifications

  • 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.

Our Commitment

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.

The successful candidate for this position will become eligible for a comprehensive set of outstanding benefits.  Click here to learn more about the benefits Lam offers for this position

Discover more at Lam Benefits

Nearest Major Market: Portland Oregon

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