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.
Key Responsibilities
HPC Architecture & Engineering
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.
Technical Requirement Analysis & Solutioning
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.
AI & GPU Computing
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.
Cloud HPC & Platform Management
Implement and maintain cloud HPC solutions on Azure, AWS and other providers.
Configure and manage HPC platforms such as Rescale, Azure CycleCloud, 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.
Operations, Performance & Support
Act as the highest-level escalation point for complex HPC incidents and troubleshooting.
Perform performance tuning, benchmarking and capacity analysis for compute, storage and network.
Drive root cause analysis and implement permanent fixes for recurring issues.
Contribute to change management, patching, upgrades and platform reliability improvements.
Create and maintain technical documentation, runbooks and knowledge articles.
Technical Guidance & Collaboration
Provide technical mentoring and guidance to HPC engineers and support staff.
Conduct code, configuration and design reviews.
Work with vendors and cloud providers on technical issues, product evaluations and escalations.
Coordinate with infrastructure, storage, networking, security and application teams on technical delivery.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related field.
8+ years of hands-on experience in HPC engineering, infrastructure or architecture roles.
2+ years of experience in a technical lead or senior engineer role.
Strong hands-on knowledge of
HPC cluster design, deployment and administration
Linux system administration and performance tuning
Slurm or equivalent HPC workload schedulers
Cloud HPC solutions (Azure, AWS)
Parallel file systems and high-performance storage (e.g., Lustre, GPFS, BeeGFS, Weka)
High-speed networking (InfiniBand, RDMA)
GPU computing (NVIDIA GPUs, CUDA)
MPI and parallel application environments
Strong scripting and automation skills (Python, Bash, PowerShell).
Experience with infrastructure-as-code and configuration management tools (Terraform, Ansible or similar).
Strong troubleshooting, analytical and communication skills.
Preferred Qualifications
Experience supporting engineering simulation and scientific workloads in enterprise HPC environments.
Hands-on knowledge of CAE and CFD applications such as Ansys, Siemens or similar tools.
Experience with containers for HPC and AI (Apptainer/Singularity, Docker, Kubernetes).
Experience with cloud-native AI platforms and MLOps workflows.
Familiarity with HPC security, compliance and governance frameworks.
Relevant certifications in cloud technologies (Azure, AWS) or HPC environments.
Key Competencies
HPC Architecture & Engineering
Technical Problem Solving
Performance Optimization
Cloud & Automation
AI/GPU Infrastructure
Technical Mentoring
Cross-Team Collaboration
Documentation & Communication
Success Metrics
HPC platform availability, performance and reliability.
Quality and timeliness of technical solutions and project delivery.
Reduction in incidents and faster resolution of complex issues.
Improved job performance and resource utilization.
User and engineering team satisfaction.
Scope
Global HPC Infrastructure, Cloud HPC, AI/GPU Platforms, Engineering Applications and Technical Operations.
Additional Information
Time Type
Full time
Employee Type
Assignee / Regular
Travel
Yes, 10% of the Time
Relocation Eligible
No
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
