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Salary
$86k – $192k per year
Location
Hybrid (Fremont, United States)
Seniority
Middle · 5+ years exp
Visa
H-1B filings in 12 months: 233 · green card filings: 85

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 19, 2026. Lam Research scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Lam Research is an American semiconductor equipment company founded in 1980 that specialises in the deposition and etch steps used to build transistors and memory cells. Its tools are central to three-dimensional NAND manufacturing, where hundreds of layers must be etched through in high aspect ratio channels, and to the atomic layer deposition and selective etch processes required at advanced logic and DRAM nodes. Headquartered in Fremont, California and listed on Nasdaq, it also runs a large installed base business supplying spares, upgrades and service, which smooths the sharp cycles in equipment purchasing.
Backed by Matrix

About the role:

Lam Research is seeking a highly motivated Process Engineer 3 (PE3) to join the Global Metrology Team. The successful candidate will drive the development and implementation of advanced in-situ and analytical metrology solutions to accelerate process understanding, improve on-wafer performance, and support the development of low global warming potential (GWP) process technologies with reduced carbon footprint.

The engineer will lead the application of in-situ diagnostic techniques including GP-FTIR, FTIR, Mass Spectrometry (MS), UV-Vis, Raman spectroscopy, and related technologies to establish mechanistic understanding of complex process interactions and enable next-generation process control strategies. The role will also leverage advanced analytical methods such as XPS, XRR, XRD, XRF, and FTIR to characterize process-induced surface modifications, identify root causes of defect formation, and resolve critical technical challenges in partnership with cross-functional technology teams.

The candidate will develop data-driven metrology approaches utilizing machine learning and deep learning techniques to analyze large-scale process and spectral datasets, extract actionable insights, and create predictive models linking process conditions, surface chemistry, and defectivity. Responsibilities include developing predictive metrology frameworks and calibrated defectivity models to support process optimization, simulation activities, and advanced defect monitoring.

This role will collaborate closely with process, product, defect inspection, and simulation teams to advance Lam’s metrology and defectivity roadmap. The engineer will evaluate and deploy emerging inspection and review technologies, including next-generation e-beam platforms, to enable high-sensitivity defect detection and predictive inspection capabilities for complex semiconductor manufacturing applications.

As a member of the Global Metrology Team, the successful candidate will recommend and implement innovative metrology solutions that strengthen Lam’s technical leadership, enhance product competitiveness, and support future technology development initiatives. The role will also be responsible for establishing and executing SPC-based monitoring and qualification methodologies to ensure critical metrology assets operate at optimal performance and meet long-term capability and reliability objectives.

Who we’re looking for

Bachelor's degree with 5+ years of experience; or a Master’s degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field with 3+ years of experience; or a PhD with no previous professional experience; or equivalent experience.

Preferred qualifications

  • Highly motivated candidates with a strong ability for teamwork/collaboration and customer-centric technology development style are encouraged to apply.
  • Experience in AI techniques (DL, CNN) and Python programming are highly preferred.
  • Working knowledge of statistical analysis and problem-solving methodologies.
  • Familiarity with working in a laboratory and on semiconductor equipment with experience in surface preparation and analytical techniques.
  • In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE).
  • Knowledge of Material synthesis and material characterization.

Our commitment

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.

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.

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 and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Salary

CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $192,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

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.

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