Senior HPC Architect​/HPC Program Lead

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world’s technology.

What We Offer

Salary: $ - $

Location:

Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

We are seeking an experienced HPC Technical Lead to drive the design, implementation and optimization of the organization’s High-Performance Computing (HPC) environments. This is a hands-on technical role responsible for building and maintaining scalable, secure and high-performing HPC platforms across on-premises, cloud and hybrid environments.

The Tech Lead will be the go-to technical expert for HPC infrastructure, cloud HPC platforms, schedulers and AI/ML workloads. The ideal candidate will work closely with engineering teams, application users, IT operations and vendors to solve complex technical problems, provide technical guidance to team members, and ensure HPC platforms meet performance and reliability requirements.

• Design, build and optimize HPC clusters across on-premises, cloud and hybrid environments.

• Translate the HPC roadmap into technical designs, implementation plans and working solutions.

• Evaluate and run proof-of-concepts for new HPC, GPU and cloud technologies, and share technical recommendations.

• Define and follow technical standards, reference architectures and best practices for HPC environments.

• Work with engineering, R&D and AI/ML users to understand workload, application and performance requirements.

• Turn requirements into technical designs, cluster configurations and deployment approaches.

• Conduct technical feasibility assessments, design reviews and benchmarking for new HPC use cases.

• Act as the senior technical point of contact for HPC-related issues and solutions.

• Design and support GPU-accelerated infrastructure for AI/ML training and inference workloads.

• Tune GPU clusters, drivers, CUDA libraries and containers for performance and stability.

• Work with AI/ML teams to optimize job scheduling, resource allocation and data pipelines.

• Explore and prototype Generative AI and emerging technologies on HPC platforms.

• Implement and maintain cloud HPC solutions on Azure, AWS and other providers.

• Configure and manage HPC platforms such as Rescale, Azure Cycle Cloud, Slurm and related tools.

• Automate cluster provisioning and configuration using infrastructure-as-code and scripting.

• Ensure HPC environments meet security, compliance and business continuity requirements.

• Monitor cloud resource usage and recommend technical cost optimizations.

• Act as the highest-level escalation point for complex HPC incidents and troubleshooting.

• Perform…