Reliability Engineer 5 jobs in United States
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Lam Research · 6 hours ago

Reliability Engineer 5

Lam Research is dedicated to excellence in the design and engineering of etch and deposition products in the semiconductor industry. The Reliability Engineer 5 will evaluate materials and techniques from a reliability standpoint, advise on design selections, and develop methods to ensure product reliability through advanced statistical and AI/ML methods.

CleanTechManufacturingSemiconductor
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Comp. & Benefits
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H1B Sponsor Likelynote

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
Leading and conducting design reviews in cross functional and matrixed environments
Determines reliability requirements of components and systems to achieve company, customer and any industry standard reliability objectives
Perform analysis for reliability and tool availability, and help identify associated costs with deviation from targets
Advises design engineering on selection, application and test of mechanical, electrical and electronic components and systems based on reliability data
Performs FMEA, Block modeling and assists in other development activities like DoE, statistical analysis, and test planning
Recommends design or test methods and statistical process control procedures for achieving required levels of product reliability. Develop RQP (reliability qualification plans) and test plans (ALT, HALT, etc.) with optimal sample size

Qualification

Reliability EngineeringAI/ML conceptsStatistical analysisReliability softwarePythonFMEADesign reviewsData AnalyticsTeam collaborationCommunication skills

Required

Evaluates, from a reliability standpoint, the materials, properties and techniques used in production
Advises design engineering on selection, application and test of electronic components and systems
Recommends design or test methods and statistical process control procedures for achieving required levels of product reliability
Determines reliability requirements of components and systems to achieve company, customer and any governmental agency reliability objectives
Develops new acceleration techniques and analytical tools to assure the early identification of potential problems with new products, packaging, processes, and product reliability
Makes 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
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
Leading and conducting design reviews in cross functional and matrixed environments
Determines reliability requirements of components and systems to achieve company, customer and any industry standard reliability objectives
Perform analysis for reliability and tool availability, and help identify associated costs with deviation from targets
Advises design engineering on selection, application and test of mechanical, electrical and electronic components and systems based on reliability data
Performs FMEA, Block modeling and assists in other development activities like DoE, statistical analysis, and test planning
Recommends design or test methods and statistical process control procedures for achieving required levels of product reliability
Develop RQP (reliability qualification plans) and test plans (ALT, HALT, etc.) with optimal sample size
Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software
Ability to work with a team to own and design concepts and drive design decisions
Make recommendations for changes in the selection and application of components and systems
Develops new acceleration techniques and analytical tools to assure the early identification of potential problems with new products, packaging, processes, and product reliability
Mine field, warranty and quality data to extract system and component failure information
Perform statistical analysis on field/test data and incorporate advanced analytical models for reliability and availability predictions
Write reports to summarize DFR activity and presents to product group engineers as necessary
Integrate the upcoming technology areas (e.g. AI, ML, IoT, Python, Data Analytics etc) to comprehend the impact on reliability analysis and improve the assessment methods

Preferred

Knowledge of AI/ML algorithm development, python, or related programming languages
Working knowledge of Reliability software, ReliaSoft, BlockSim, MADe, or other applicable software
PhD in Reliability Engineering, Mechanical Engineering or related field with reliability and statistical emphasis
Preferred knowledge of semiconductor metrology methods and employing sensors and hardware designs in a vacuum environments is a plus

Benefits

Lam offers a variety of work location models based on the needs of each role.
Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely.
Our Perks And Benefits At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Company

Lam Research

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Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.

H1B Sponsorship

Lam Research has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (239)
2023 (170)
2022 (216)
2021 (242)
2020 (182)

Funding

Current Stage
Public Company
Total Funding
unknown
1984-05-11IPO

Leadership Team

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Tim Archer
President and CEO
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Rick Gottscho
Exec VP and CTO
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Company data provided by crunchbase