×
Register Here to Apply for Jobs or Post Jobs. X

Director, AI Lab

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Lam Research
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

The group you’ll be a part of. Shape the future of AI at enterprise scale while building it from the ground up as the launch-stage Director of Lam’s Applied AI & Innovation Lab. Lam Research is establishing a new AI Lab in Fremont, CA to accelerate the creation of advanced, high-impact AI solutions across the company. We are seeking a Director, AI Lab to lead the creation, operation, and long-term evolution of this lab as a center of excellence for AI solution prototyping, experimentation, and applied innovation.

The AI Lab will function as a hands-on innovation environment where internal teams—from product groups and engineering to operations and corporate functions—can rapidly develop, test, and mature AI-driven solutions. This role is responsible for setting the technical vision, building the lab’s capabilities, and ensuring outputs transition effectively from prototype to production-scale deployment. Join us to lead the innovation as Lam's FIRST Director at our new AI Lab.

The

impact you’ll make
  • AI Lab Vision & Strategy — Define the mission, scope, and operating model of Lam’s AI Lab, aligned with enterprise AI strategy and business priorities.
  • AI Lab as a destination for rapid prototyping, applied research, and solution acceleration, bridging experimentation and real-world business impact.
  • Identify priority AI technology themes and technical focus areas (e.g., ML, GenAI, vision, optimization, agents, automation) relevant to Lam’s businesses.
Responsibilities
  • Lead hands-on development of AI prototypes, proof-of-concepts, and experimental solutions across products, engineering, manufacturing, operations, and corporate functions.
  • Guide technical teams in selecting and applying appropriate AI architectures, models, tools, and platforms.
  • Ensure solutions are designed with scalability, robustness, and transition-to-production in mind, aligning with enterprise AI foundations and delivery standards.
What You’ll Do
  • Collaboration & Engagement — Partner with internal business units, engineering teams, and corporate functions to identify high-value AI opportunities and co-develop solutions.
  • Provide an environment where domain experts can work side-by-side with AI engineers and data scientists to accelerate solution development.
  • Serve as a technical thought leader and advisor to senior leadership on advanced AI technologies and their practical application within Lam.
Operational Excellence
  • Build and manage the AI Lab’s operating processes, including project intake, prioritization, resourcing, and execution.
  • Establish best practices for experimentation, model validation, and knowledge sharing.
  • Ensure effective handoff of successful prototypes to product teams, engineering organizations, or AI product management for scaling and deployment.
Talent & Culture Development
  • Recruit, develop, and lead a high-performing team of AI engineers, researchers, and technical specialists.
  • Foster a culture of innovation, experimentation, and technical rigor within the AI Lab.
  • Help elevate AI literacy and applied AI capabilities across Lam through mentorship, demonstrations, and technical engagement.
Required Qualifications
  • Deep expertise in AI and machine learning technologies, including hands-on experience building and deploying advanced AI systems.
  • Proven experience leading technical AI teams in environments focused on innovation, prototyping, or advanced solution development.
  • Strong understanding of end-to-end AI solution development, from experimentation through production handoff.
  • Ability to communicate complex technical concepts effectively to both technical and business audiences.
  • Demonstrated leadership in fast-moving, ambiguous environments.
Preferred Qualifications
  • Experience with enterprise-scale AI platforms, data infrastructure, or MLOps-enabled delivery models.
  • Familiarity with industrial, engineering, manufacturing, or enterprise workflows.
  • Experience in the semiconductor industry (capital equipment or process technology) is a strong plus, but not required.
  • Advanced degree (MS or PhD) in Computer Science, Engineering, AI/ML, or a related field.
Leadership Attributes
  • Builder mindset with a bias toward action and iteration.
  • Te
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary