{"id":3597782,"url":"https://alion.io/job/applied-materials-senior-hpc-architect-hpc-program-lead","title":"Senior HPC Architect / HPC Program Lead","company":{"id":3903,"name":"Applied Materials","domain":"appliedmaterials.com","url":"https://alion.io/company/amat","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":261,"ghost_share":0.004,"stale_share":0.552,"repost_share":0.011,"time_to_fill_p50_days":54,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140500,"max":193000,"currency":"USD","period":"year","gross":null,"usd_annual":193000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"Configuration Management","optional":false},{"name":"CUDA","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"MPI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false},{"name":"ANSYS","optional":true},{"name":"C","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-08T16:54:40Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Who We Are\nApplied 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.\nWhat We Offer\nSalary:\n$140,500.00 - $193,000.00Location:\nSanta Clara,CAYou’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.\nAt 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.\nWe 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.\nThe 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.\nKey Responsibilities\nHPC Architecture & Engineering\nDesign, build and optimize HPC clusters across on-premises, cloud and hybrid environments.\nTranslate the HPC roadmap into technical designs, implementation plans and working solutions.\nEvaluate and run proof-of-concepts for new HPC, GPU and cloud technologies, and share technical recommendations.\nDefine and follow technical standards, reference architectures and best practices for HPC environments.\nTechnical Requirement Analysis & Solutioning\nWork with engineering, R&D and AI/ML users to understand workload, application and performance requirements.\nTurn requirements into technical designs, cluster configurations and deployment approaches.\nConduct technical feasibility assessments, design reviews and benchmarking for new HPC use cases.\nAct as the senior technical point of contact for HPC-related issues and solutions.\nAI & GPU Computing\nDesign and support GPU-accelerated infrastructure for AI/ML training and inference workloads.\nTune GPU clusters, drivers, CUDA libraries and containers for performance and stability.\nWork with AI/ML teams to optimize job scheduling, resource allocation and data pipelines.\nExplore and prototype Generative AI and emerging technologies on HPC platforms.\nCloud HPC & Platform Management\nImplement and maintain cloud HPC solutions on Azure, AWS and other providers.\nConfigure and manage HPC platforms such as Rescale, Azure CycleCloud, Slurm and related tools.\nAutomate cluster provisioning and configuration using infrastructure-as-code and scripting.\nEnsure HPC environments meet security, compliance and business continuity requirements.\nMonitor cloud resource usage and recommend technical cost optimizations.\nOperations, Performance & Support\nAct as the highest-level escalation point for complex HPC incidents and troubleshooting.\nPerform performance tuning, benchmarking and capacity analysis for compute, storage and network.\nDrive root cause analysis and implement permanent fixes for recurring issues.\nContribute to change management, patching, upgrades and platform reliability improvements.\nCreate and maintain technical documentation, runbooks and knowledge articles.\nTechnical Guidance & Collaboration\nProvide technical mentoring and guidance to HPC engineers and support staff.\nConduct code, configuration and design reviews.\nWork with vendors and cloud providers on technical issues, product evaluations and escalations.\nCoordinate with infrastructure, storage, networking, security and application teams on technical delivery.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related field.\n8+ years of hands-on experience in HPC engineering, infrastructure or architecture roles.\n2+ years of experience in a technical lead or senior engineer role.\nStrong hands-on knowledge of:\nHPC cluster design, deployment and administration\nLinux system administration and performance tuning\nSlurm or equivalent HPC workload schedulers\nCloud HPC solutions (Azure, AWS)\nParallel file systems and high-performance storage (e.g., Lustre, GPFS, BeeGFS, Weka)\nHigh-speed networking (InfiniBand, RDMA)\nGPU computing (NVIDIA GPUs, CUDA)\nMPI and parallel application environments\nStrong scripting and automation skills (Python, Bash, PowerShell).\nExperience with infrastructure-as-code and configuration management tools (Terraform, Ansible or similar).\nStrong troubleshooting, analytical and communication skills.\nPreferred Qualifications\nExperience supporting engineering simulation and scientific workloads in enterprise HPC environments.\nHands-on knowledge of CAE and CFD applications such as Ansys, Siemens or similar tools.\nExperience with containers for HPC and AI (Apptainer/Singularity, Docker, Kubernetes).\nExperience with cloud-native AI platforms and MLOps workflows.\nFamiliarity with HPC security, compliance and governance frameworks.\nRelevant certifications in cloud technologies (Azure, AWS) or HPC environments.\nKey Competencies\nHPC Architecture & Engineering\nTechnical Problem Solving\nPerformance Optimization\nCloud & Automation\nAI/GPU Infrastructure\nTechnical Mentoring\nCross-Team Collaboration\nDocumentation & Communication\nSuccess Metrics\nHPC platform availability, performance and reliability.\nQuality and timeliness of technical solutions and project delivery.\nReduction in incidents and faster resolution of complex issues.\nImproved job performance and resource utilization.\nUser and engineering team satisfaction.\nScope\nGlobal HPC Infrastructure, Cloud HPC, AI/GPU Platforms, Engineering Applications and Technical Operations.\nAdditional Information\nTime Type:\nFull timeEmployee Type:\nAssignee / RegularTravel:\nYes, 10% of the TimeRelocation Eligible:\nNoThe 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.\nFor 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.\nApplied 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.\nIn 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 ,or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. 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