Research Engineer Jobs at Lam Research with Visa Sponsorship
Lam Research hires Research Engineers across semiconductor process development, equipment design, and materials science, with a consistent record of sponsoring international talent through multiple visa pathways. If you're targeting a technical research role in the semiconductor industry, Lam Research actively supports candidates who need sponsorship.
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Get Access To All JobsRequisition ID 197646
Date posted 04/20/2026
Work Location Model On-site Flex
Work Location Fremont-CA
Work Country United States
The impact you’ll make
In this role, you will directly contribute to Lam’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.
What you’ll do
- 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.
- 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.
- Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.
- 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.
- 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.
- Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.
- Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.
- Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.
Who we’re looking for
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
- 8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.
- Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.
- Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.
- Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.
- Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.
Preferred qualifications
- Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.
- Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.
- Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.
- Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.
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: $141,000.00 - $307,000.00.
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.
Requisition ID 197646
Date posted 04/20/2026
Work Location Model On-site Flex
Work Location Fremont-CA
Work Country United States
The impact you’ll make
In this role, you will directly contribute to Lam’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.
What you’ll do
- 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.
- 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.
- Develop and optimize large-scale data processing solutions using Python, SQL, Spark, and modern Azure data services to support high-volume, high-performance workloads.
- 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.
- 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.
- Drive architecture decisions for data integration, storage, transformation, and serving layers that support the long-term Enterprise AI roadmap.
- Contribute to engineering quality through CI/CD, automation, observability, and operational readiness practices for data pipelines and platforms.
- Document architecture decisions, technical designs, and operating procedures to support maintainability, operational readiness, and long-term platform sustainability.
Who we’re looking for
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
- 8+ years of experience in data engineering, data architecture, platform engineering, or related technical roles.
- Strong hands-on experience designing and building cloud-based data solutions on Microsoft Azure.
- Strong proficiency in Python, SQL, and Spark for data transformation, pipeline development, and large-scale data processing.
- Experience with modern data architecture patterns, including Lakehouse and Medallion architecture, and building production-grade data pipelines that integrate data from multiple enterprise systems.
- Experience partnering with cross-functional teams to deliver scalable technical solutions that support business and platform goals.
Preferred qualifications
- Experience with Microsoft Fabric, Azure Databricks, Azure Data Factory, Synapse, or related Azure data services.
- Experience supporting AI/ML or generative AI use cases, including data preparation for model training, inference, vector search, or Retrieval-Augmented Generation (RAG) workflows.
- Experience with graph data models, knowledge graph technologies, or graph databases such as Neo4j.
- Experience with Azure AI Search, event-driven ingestion patterns, CI/CD for data engineering, and monitoring or observability practices for data platforms.
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: $141,000.00 - $307,000.00.
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.
See all 227+ Research Engineer at Lam Research jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Engineer at Lam Research roles.
Get Access To All JobsTips for Finding Research Engineer Jobs at Lam Research Jobs
Align Your Degree to Semiconductor Process Domains
Lam Research's Research Engineer roles concentrate on plasma physics, thin film deposition, and etch chemistry. Frame your graduate coursework and research around these process areas so your application maps cleanly to the specialty occupation standard USCIS applies to H-1B petitions.
Target Roles Tied to Specific Product Lines
Lam Research organizes Research Engineer hiring around equipment platforms like Kiyo, Sabre, and Altus. Applying to roles that name a specific product line signals alignment with active development programs, which tend to have faster internal approval for headcount and sponsorship.
Use Migrate Mate to Filter Sponsorship-Ready Openings
Not every Research Engineer posting at Lam Research gets filed under the same visa pathway. Use Migrate Mate to surface roles where sponsorship has been confirmed, so you're applying to positions that are already set up for international candidates.
Clarify OPT STEM Extension Eligibility Before Signing
Lam Research is an E-Verify employer, which is required for F-1 STEM OPT extensions. Before accepting an offer, confirm your degree field appears on the official DHS STEM Designated Degree Program List so your 24-month extension can proceed without complications at the start date.
Ask Recruiter About Filing Timeline Relative to Start Date
H-1B cap filings open in March for an October 1 start. If you're finishing a PhD or postdoc, your offer timing needs to account for this window. Confirm with the Lam Research recruiter whether they'll file in the upcoming registration cycle or sponsor a cap-exempt pathway through your current institution.
Prepare a Technical Portfolio Covering Process Characterization Work
Lam Research's PERM and H-1B petitions for Research Engineers typically require evidence of specialized knowledge. Document publications, patent contributions, or process development results from your research, since these strengthen the employer's position when USCIS or DOL reviews the specialization requirement.
Research Engineer at Lam Research jobs are hiring across the US. Find yours.
Find Research Engineer at Lam Research JobsFrequently Asked Questions
Does Lam Research sponsor H-1B visas for Research Engineers?
Yes, Lam Research sponsors H-1B visas for Research Engineers and has done so consistently across its semiconductor equipment and process development teams. The company files both cap-subject petitions through the annual lottery and, in some cases, cap-exempt petitions where candidates transition from qualifying research institutions. Confirm the specific pathway with your recruiter early in the process, since cap timing directly affects your start date.
How do I apply for Research Engineer jobs at Lam Research?
Applications go through Lam Research's careers portal, where Research Engineer roles are listed by product line and technical function. Tailoring your resume to the specific process domain in the job description, such as etch, deposition, or metrology, improves your chances of passing initial screening. Migrate Mate also lists Lam Research Research Engineer openings with sponsorship details surfaced, making it easier to identify roles where international candidates are actively considered.
Which visa types does Lam Research commonly use for Research Engineer roles?
Lam Research uses H-1B most commonly for Research Engineers, but the company also supports F-1 OPT and STEM OPT extensions for recent graduates, TN visas for Canadian and Mexican nationals in qualifying engineering disciplines, J-1 for research exchange candidates, and EB-2 or EB-3 immigrant visa petitions for employees pursuing permanent residency. The pathway depends on your nationality, degree level, and how long you've already been working in the U.S.
What qualifications does Lam Research expect for Research Engineer roles?
Most Research Engineer positions at Lam Research require at least a master's degree in chemical engineering, materials science, physics, or electrical engineering, with PhD holders preferred for roles involving novel process development. Hands-on experience with semiconductor fabrication equipment, plasma systems, or thin film characterization techniques is expected. Publications, patents, or direct lab experience in CVD, ALD, or etch processes carry significant weight in the screening process.
How long does the visa sponsorship process typically take for a Lam Research Research Engineer offer?
If you're on F-1 OPT, you can start on your existing authorization while Lam Research files for H-1B in the March registration window, with status change effective October 1. USCIS standard processing for an H-1B petition runs three to five months after filing; premium processing reduces that to 15 business days. For Green Card sponsorship through PERM, the full process from labor certification to I-140 approval typically runs one to three years, depending on your priority date and country of birth.
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