Qureos Mentor

Lam Research

<div><div><div><div>Requisition ID</div><div><b>
197646</b></div></div><div><div>
Date posted</div><div><b>
04/20/2026</b></div></div><div><div>
Work Location Model</div><div><b>
On-site Flex</b></div></div><div><div>
Work Location</div><div><b>
Fremont-CA</b></div></div><div><div>
Work Country</div><div><b>
United States</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The impact you&rsquo;ll make</b></h2>
</div><div><p>
In this role, you will directly contribute to Lam&rsquo;s Enterprise AI strategy by building the scalable, AI-ready data foundation that powers generative AI, machine learning, and advanced analytics across the company. You will define and deliver modern data architecture, trusted data products, and production-grade data pipelines that enable Enterprise AI use cases at scale.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll do</b></h2>
</div><div><ul><li>Architect and build scalable, production-grade data pipelines and data products on Azure, Microsoft Fabric, and related cloud data platforms to support Enterprise AI use cases.</li><li>
Design and implement data architecture patterns, including Medallion architecture and curated data layers, to improve data quality, usability, and governance for AI and analytics workloads.</li><li>
Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.</li><li>
Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.</li><li>
Partner closely with AI/ML engineers, data scientists, business teams, and platform teams to translate AI use-case requirements into scalable, governed, and production-ready data solutions.</li><li>
Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.</li><li>
Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.</li><li>
Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we&rsquo;re looking for</b></h2>
</div><div><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Information Systems, or a related field.</li><li>
8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.</li><li>
Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.</li><li>
Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.</li><li>
Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.</li><li>
Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred qualifications</b></h2>
</div><div><ul><li>Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.</li><li>
Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.</li><li>
Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.</li><li>
Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our commitment</b></h2>
</div><div><p>
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.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) 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.</p><p><i>
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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p></div></div></div><p><b>
Salary</b></p><p>
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.</p><p>
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.</p><p><b>
Our Perks and Benefits</b></p><p><br>
At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.</p></div></div></div>

Lead Data Engineer

<div><div><div><div>Requisition ID</div><div><b>
197611</b></div></div><div><div>
Date posted</div><div><b>
04/17/2026</b></div></div><div><div>
Work Location Model</div><div><b>
On-site Flex</b></div></div><div><div>
Work Location</div><div><b>
Fremont-CA</b></div></div><div><div>
Work Country</div><div><b>
United States</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The group you&rsquo;ll be a part of</b></h2>
</div><div><p>
The Global Human Resources Group operates on the understanding that our people are our most valuable assets. They think globally to optimize our workforce, integrate our Core Values into everything we do, and deliver the HR solutions to enhance the employee experience and enable future growth.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
The impact you&rsquo;ll make</b></h2>
</div><div><p>
At <b>Lam Research</b>, employee experience is a strategic advantage&mdash;and this role sits at the center of it.</p><p>
As <b>Senior Director, Global Travel &amp; Employee Services</b>, you will shape how employees experience Lam every day: how they travel, how they gather, how they are supported on campus, and how services enable them to do their best work. This is a highly visible, global leadership role with direct influence on employee satisfaction, operational excellence, and Lam&rsquo;s culture.</p><p>
You will lead the strategy, execution, and continuous evolution of Lam&rsquo;s <b>Global Travel and Employee Services</b> organization, overseeing travel programs, corporate card operations, on‑site food services, breakrooms, and large‑scale corporate events. Your work will directly impact thousands of employees across the globe&mdash;balancing efficiency, compliance, and innovation with a best‑in‑class employee experience.</p><p>
This role is ideal for a strategic, adaptable leader who thrives at the intersection of <b>operations, experience design, and transformation</b>, and who is energized by partnering across the enterprise to deliver meaningful, scalable impact.</p><p><b>
Why This Role Matters</b></p><p>
This role doesn&rsquo;t just manage services&mdash;it <b>shapes how employees experience Lam every day</b>. From the first business trip to everyday moments on campus, your leadership will help create an environment where employees feel supported, valued, and empowered to do extraordinary work.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Elevate the employee experience by designing and delivering global travel and employee services that are seamless, inclusive, and aligned to how employees work and connect at Lam.</li><li>
Define the global strategy for Travel and Employee Services to support business objectives while improving employee engagement, productivity, and satisfaction.</li><li>
Lead and inspire a global team of employees and suppliers, fostering high performance, accountability, and a strong service mindset.</li><li>
Oversee global operations including travel programs, corporate card management, onsite cafeterias, breakrooms, and high‑profile corporate events.</li><li>
Drive innovation and transformation by introducing best practices, new technologies, and modern service delivery solutions.</li><li>
Strengthen governance and compliance through robust controls, quality assurance, and monitoring aligned with company policies and industry standards.</li><li>
Optimize supplier partnerships by ensuring accountability while building collaborative relationships that deliver consistent, high‑quality service globally.</li><li>
Use data and insights to define success, with clear metrics and reporting across compliance, efficiency, service quality, and employee impact.</li><li>
Represent Lam with credibility and influence by partnering across Human Resources, Finance, Legal, Security, Engineering, and other functions to integrate services seamlessly across the enterprise.</li><li>
Lead the end‑to‑end global Travel &amp; Employee Services function, spanning strategy, operations, policy, systems, and supplier management.</li><li>
Develop and execute a comprehensive global roadmap for travel and employee services that evolves with Lam&rsquo;s growth and workforce needs.</li><li>
Ensure high‑quality day‑to‑day operations while driving longer‑term transformation initiatives.</li><li>
Partner closely with cross‑functional stakeholders&mdash;including People Operations, Payroll, Accounting, Compliance, FP&amp;A, Employment Tax, Legal, and Security&mdash;to deliver aligned, compliant solutions.</li><li>
Maintain a strong quality assurance and control environment, with clear ownership, monitoring, and escalation processes.</li><li>
Lead Quarterly Business Reviews (QBRs) with service partners to assess performance, surface insights, and drive continuous improvement.</li><li>
Champion change management, supporting adoption of new tools, processes, and ways of working across regions.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we&rsquo;re looking for</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Business, Computer Science, Math, Statistics, Hospitality, or a related field; MBA or Master&rsquo;s preferred.</li><li>
12+ years of global, multi‑national experience leading Corporate Travel and Employee Services programs at scale.</li><li>
Proven success leading global teams and complex supplier ecosystems.</li><li>
Strong change leadership experience, including technology implementations and process transformation.</li><li>
Exceptional communication and influencing skills, with the ability to partner effectively at all levels.</li><li>
Analytical, strategic thinker with strong attention to detail and operational discipline.</li><li>
Experience with <b>Concur Travel</b> implementations and enhancements.</li><li>
Experience overseeing <b>on‑site corporate food services</b> and <b>event planning.</b></li><li>
Comfortable operating in a fast‑paced, evolving environment.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our commitment</b></h2>
</div><div><p>
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.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) 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.</p><p><i>
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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p><p>
#LI-DM1</p></div></div></div><p><b>
Salary</b></p><p>
CA San Francisco Bay Area Salary Range for this position: $175,000.00 - $389,000.00.</p><p>
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.</p><p><b>
Our Perks and Benefits</b></p><p><br>
At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.</p></div></div></div>

Senior Director, Global Travel & Employee Services

<div><div><div><div>Requisition ID</div><div><b>
198343</b></div></div><div><div>
Date posted</div><div><b>
04/17/2026</b></div></div><div><div>
Work Location Model</div><div><b>
On-site Flex</b></div></div><div><div>
Work Location</div><div><b>
Fremont-CA</b></div></div><div><div>
Work Country</div><div><b>
United States</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The group you&rsquo;ll be a part of</b></h2>
</div><div><p>
The <b>Enterprise AI team </b>within <b>Office of CTO</b> is a centralized, high impact group responsible for developing, scaling, and evangelizing AI capabilities across Lam Research. The team partners closely with product managers, engineering teams, business units to deliver AI-enabled solutions that drive measurable business value and accelerate Lam&rsquo;s digital transformation.</p><p>
We are seeking a highly skilled and versatile <b>Data Science / AI / ML Lead</b> to lead the development of advanced AI/ML solutions, including but not limited to statistical modeling, computer vision, LLM/RAG workflows, optimization, and domain-specific modeling. This role works closely with product managers, forward deployed engineers, data engineers and AI/ML development engineers, translating high priority business challenges into robust, secure and explainable AI solutions aligned to business needs.</p><p>
The ideal candidate combines deep technical expertise with strong stakeholder engagement skills, enabling them to act as a technical advisor, evangelist, and multiplier for AI capabilities across Lam.</p><p>
The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><p><b>
AI/ML Technical Leadership</b></p><ul><li>
Develop, evaluate, and deploy state‑of‑the‑art ML/AI models including traditional ML, deep learning, computer vision, time-series forecasting, and LLM‑based systems.</li><li>
Develop and maintain enterprise-grade ontologies that model the complex domain of semiconductor engineering.</li><li>
Guide the use of OOTB foundation models and platforms, while leading development of custom solutions when needed (e.g., vision models, domain‑specific fine‑tuning).</li><li>
Evaluate and integrate emerging AI technologies, frameworks, and tools aligned with business requirements and value-driven mindset.</li></ul><p><b>
Technical Execution &amp; Modeling Excellence</b></p><ul><li>
Perform advanced data analysis using statistical and scientific methods; build proof‑of‑concept models that scale to production deployments. Mine and analyze large-scale datasets to drive operational insights, optimization opportunities, and KPI improvements.</li><li>
Work with domain experts and ML engineers to develop feature stores, automated pipelines, and efficient MLOps workflows to speed up experimentation &amp; model serving</li><li>
Design and integrate ontology aware retrieval and reasoning (e.g., schema‑aware RAG, graph‑augmented retrieval, controlled vocabularies for prompts and tools) that grounds AI/ML systems (including LLMs, RAG pipelines, agents, and traditional ML) in consistent, machine‑interpretable business meaning.</li><li>
Establish measurable success criteria for ontology effectiveness (e.g., reduced ambiguity, improved retrieval accuracy, explainability, reuse across use cases)</li></ul><p><b>
Cross-functional Collaboration</b></p><ul><li>
Work with platform teams to deploy scalable models using cloud infrastructure (e.g., Databricks, Azure ML, Azure foundry, feature stores, model registries).</li><li>
Collaborate with software engineering teams to integrate models into applications and product workflows.</li><li>
Support internal communities of practice; mentor data scientists and engineers to propagate best practices.</li><li>
Act as a trusted technical advisor to business units on AI best practices, solution patterns, and technology selection.</li><li>
Develop and deliver training, demos, and internal enablement resources to uplift AI proficiency across Lam.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we&rsquo;re looking for</b></h2>
</div><div><ul><li>Minimum of 15 years of related experience with a Bachelor&rsquo;s degree; or 12 years and a Master&rsquo;s degree; or a PhD with 8 years experience; or equivalent experience.</li><li>
Strong in presenting data and analysis in a visually intuitive way to a broad set of stakeholders (technical and non-technical)</li><li>
Demonstrated breadth of understanding applicability of various ML/DL methods to various domains (e.g. time-series, vision etc.)</li><li>
Solid understanding of various ML and DL frameworks and in-depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>
Demonstrated expertise with Transformer architectures &mdash; including attention mechanisms, encoder&ndash;decoder designs, and fine‑tuning foundational models for NLP, CV, or multi‑modal tasks.</li><li>
Hands‑on experience building and optimizing Transformer‑based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques.</li><li>
Deep expertise in ontology design, semantic modeling, knowledge graphs, or domain-driven data models.</li><li>
Hands-on experience with semantic modeling standards and techniques (e.g., ontology schemas, taxonomies, semantic constraints) and their practical application in enterprise AI systems.</li><li>
Strong programming experience in python with demonstrated experience in package development (or open-source projects, hackathons etc.)</li><li>
Strong in data/feature engineering with Pandas/PySpark etc.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our commitment</b></h2>
</div><div><p>
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.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) 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.</p><p><i>
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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p></div></div></div><p><b>
Salary</b></p><p>
CA San Francisco Bay Area Salary Range for this position: $166,000.00 - $350,000.00.</p><p>
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.</p><p><b>
Our Perks and Benefits</b></p><p><br>
At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.</p></div></div></div>

Data Scientist 6

<div><div><div><div>Requisition ID</div><div><b>
197016</b></div></div><div><div>
Date posted</div><div><b>
04/17/2026</b></div></div><div><div>
Work Location Model</div><div><b>
On-site</b></div></div><div><div>
Work Location</div><div><b>
Hillsboro-OR</b></div></div><div><div>
Work Country</div><div><b>
United States</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The group you&rsquo;ll be a part of</b></h2>
</div><div><p>
The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
The impact you&rsquo;ll make</b></h2>
</div><div><p>
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Who we&rsquo;re looking for</b></h2>
</div><div><ul><li>Typically requires a minimum of 5 years of related experience with a Bachelor&rsquo;s degree; or 3 years and a Master&rsquo;s degree; or a PhD without experience; or equivalent work experience.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred qualifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Our commitment</b></h2>
</div><div><p>
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.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) 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.</p><p><i>
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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p></div></div></div><p><b>
Our Perks and Benefits</b></p><p><br>
At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.</p></div></div></div>

Data Scientist 3

<div><div><div><div>Requisition ID</div><div><b>
196178</b></div></div><div><div>
Date posted</div><div><b>
04/14/2026</b></div></div><div><div>
Work Location Model</div><div><b>
On-site Flex</b></div></div><div><div>
Work Location</div><div><b>
Fremont-CA</b></div></div><div><div>
Work Country</div><div><b>
United States</b></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>
The group you&rsquo;ll be a part of</b></h2>
</div><div><p>
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
The impact you&rsquo;ll make</b></h2>
</div><div><p>
As a Technical Program Manager at Lam, you are not just overseeing projects &ndash; you&rsquo;re orchestrating breakthroughs in support of [insert strategic initiative]. You&rsquo;ll lead cross-functional teams through successful project execution blending your technical excellence with strategic planning to deliver new or upgraded products. Your role is vital, owning technical projects from initiation through delivery using your expertise in planning, directing, and monitoring schedules and budget.</p><p>
In this role, you will directly contribute to ___.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Over-see the optimization or creation of technical product offerings, processes, or programs, developing project plans, aligning teams, managing risk, and driving projects through release.</li><li>
Take ownership and accountability for the success of projects and cross-functional teams to ensure program schedules, performance metrics, and delivery meets business requirements on time and within budget.</li><li>
Partner with stakeholders to understand process and system requirements, and deliver enhancements based on a changing technology landscape.</li><li>
Lead Continuous Improvement projects, owning the entire lifecycle from inception to impactful results.</li><li>
Perform data collection and statistical analysis, and report results to inform program schedules and deliverables.</li><li>
Coach and train teams in process methodologies, tools, and best practices.</li><li>
Influence cross-functional stakeholders to continuously improve the process and inspire alignment.</li><li>
Deliver change management for programs that are sustainable and maintains long-term success.</li><li>
Successfully navigate multiple projects in a dynamic environment.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we&rsquo;re looking for</b></h2>
</div><div><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree with 12+ years of experience; or Master&rsquo;s degree with 8+ years&rsquo; experience; or a PhD with 5+ years&rsquo; experience; or equivalent experience.</li><li>
8+ years of continuous improvement or technical program management.</li><li>
Experience leading cross-functional teams and demonstrating excellent leadership and influence skills to deliver results.</li><li>
Excellent communication and executive presentation skills with the ability to present to audiences at all levels in the Company.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred qualifications</b></h2>
</div><div><ul><li>Experience in or deep knowledge of Semiconductor fabrication, Semiconductor Equipment Operations, or related industries is a plus.</li><li>
Expert knowledge of Program Management methods and experience in Product Development &amp; Release (PDR) procedures.</li><li>
Relevant project management certifications such as PMP, CAPM, Scrum Master, or PRINCE2.</li><li>
Experience in Lean Six Sigma methodology or certification (Green Belt, Black Belt) is a plus.</li><li>
Experience with Agile and/or Waterfall project methodologies.</li><li>
Expertise with project management software and tools including MS Project, QuickBase, Office Timeline, or equivalent.</li><li>
Experience in Change Management methodologies is a plus.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Our commitment</b></h2>
</div><div><p>
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.</p><p>
Lam Research (&quot;Lam&quot; or the &quot;Company&quot;) 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.</p><p><i>
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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.</i></p></div></div></div><p><b>
Salary</b></p><p>
CA San Francisco Bay Area Salary Range for this position: $125,000.00 - $270,000.00.</p><p>
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.</p><p><b>
Our Perks and Benefits</b></p><p><br>
At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.</p></div></div></div>

Technical Program Manager 5

<div>
 <strong>
  The group you&rsquo;ll be a part of
  <br/>
  <br/>
 </strong>
 The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.
 <br/>
 <br/>
 <strong>
  The impact you&rsquo;ll make
  <br/>
  <br/>
 </strong>
 Oversees all U.S. import and export activities, including Lam Research&rsquo;s Foreign Trade Zones (FTZ). This role ensures efficient movement of materials and finished goods while maintaining full compliance with CBP and other regulatory requirements. The position provides subject matter expertise in Incoterms, FTZ operations, bonded movements, and U.S. customs regulations, supporting both cost optimization and service performance across the supply chain.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Represent the company to U.S. Customs and Border Protection (CBP) and respond to CBP inquiries across FTZ, import, and export operations.
  </li>
  <li>
   Maintain all required bonds, licenses, approvals, and authorizations for import, export, and FTZ activity, including renewals and deactivations.
  </li>
  <li>
   Own and maintain company-wide import/export compliance procedures, the ICRS manual, and related SOPs.
  </li>
  <li>
   Lead and manage U.S. Import Operations and FTZ teams, including direct and indirect reports, ensuring strong operational performance.
  </li>
  <li>
   Oversee FTZ administration, external consultants, and customs brokers; ensure adherence to SOWs, service levels, and compliance expectations.
  </li>
  <li>
   Provide subject matter expertise and operational decision support for daily import, export, and FTZ activities.
  </li>
  <li>
   Manage departmental budgets, monitor duty spend vs. forecast, and support strategic cost‑reduction initiatives.
  </li>
  <li>
   Identify and execute duty‑savings opportunities, including FTZ, FTA, and Returned Goods programs.
  </li>
  <li>
   Oversee end‑to‑end import and export operations outside the FTZ, including classification, valuation, documentation accuracy, and timely broker execution.
  </li>
  <li>
   Conduct internal audits to assess compliance, validate controls, and drive corrective actions and continuous improvement.
  </li>
  <li>
   Lead root cause analyses and implement process improvements using Lam problem‑solving methodologies; develop and maintain KPIs.
  </li>
  <li>
   Monitor regulatory changes in U.S. and international trade requirements and communicate impacts to stakeholders; provide updates and training to senior leadership and cross‑functional teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or equivalent with 6-8 years of management experience. An advanced degree preferred.
  </li>
  <li>
   Minimum B.A./B.S. degree and 15 years&rsquo; experience working for a major importer or zone operator preferred. Comparable experience at a customs broker or freight forwarder, with emphasis on programs and problem solving, will be considered.
  </li>
  <li>
   6-8 years&rsquo; management experience. Advanced degree preferred.
  </li>
  <li>
   In-depth knowledge of export, import, U.S. Customs, and U.S. Foreign Trade Zone regulations.
  </li>
  <li>
   LCB, CCS, or Certified Zone Specialist (CZS) highly preferred.
  </li>
  <li>
   Able to demonstrate skills, speed, and efficiency in data management and reporting, including monthly reporting of key metrics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Candidates should have excellent verbal and written communication skills and be able to communicate with all levels and disciplines.
  </li>
  <li>
   Possess strong leadership skills including team facilitation, training, and motivation.
  </li>
  <li>
   Demonstrated ability to solve complex problems with scalable and repeatable results.
  </li>
  <li>
   Demonstrated ability to lead multiple cross-functional projects and effectively track and report progress.
  </li>
  <li>
   Demonstrated ability to gain acceptance from peers in other departments and to lead cross-functional teams to drive process improvements.
  </li>
  <li>
   Candidate requires minimal direction and identifies and pursues opportunities for innovation.
  </li>
  <li>
   Knowledge and experience with ACE and OFIS beneficial.
  </li>
  <li>
   Experience with SAP advantageous.
  </li>
  <li>
   This position is On-Site Flex**,** which requires physical presence in the office or warehouses three days per week.
  </li>
  <li>
   Must be willing and able to travel up to 10% (including domestic and international), mostly domestic travel for internal meetings and meetings with U.S. CBP.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our commitment
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <em>
  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 &ndash; On-site Flex and Virtual Flex. &lsquo;On-site Flex&rsquo; you&rsquo;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. &lsquo;Virtual Flex&rsquo; you&rsquo;ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
  <br/>
  <br/>
 </em>
 <strong>
  Salary
  <br/>
  <br/>
 </strong>
 CA San Francisco Bay Area Salary Range for this position: Min $137,00 - Max $287,000.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Our Perks And Benefits
  <br/>
  <br/>
 </strong>
 At Lam, our people make amazing things possible. That&rsquo;s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
 <br/>
 <br/>
</div>


Sr. Manager, Foreign Trade

Join Lam Research and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.