High Performance Computing Platform ArchitectKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.
Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.The Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team.
The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively.In this exciting role you will design and architect next-generation High Performance Computing platforms supporting semiconductor manufacturing, AI workloads, computational lithography, metrology, inspection, and large-scale distributed data processing environments. Lead architecture decisions spanning software, hardware, networking, storage, GPU acceleration, virtualization, and cloud-integrated HPC infrastructure.
Drive technology strategy, roadmap planning, and cross-functional alignment from concept through field deployment.Responsibilities Will Include:HPC Platform ArchitectureDefine architecture for enterprise-scale HPC clusters.Develop compute, network, storage, and virtualization strategies.Lead platform scalability planning from tens to thousands of cores.Define standards for GPU acceleration, distributed computing, and workload orchestration.Establish system performance entitlement targets and capacity planning methodologies.Software ArchitectureDesign distributed software services supporting HPC infrastructure.Define APIs, automation frameworks, configuration management architecture, and observability solutions.Lead adoption of software engineering best practices including CI/CD, testing, infrastructure-as-code, and DevOps methodologies.Drive modernization initiatives across Linux, container, and cloud-native platforms.Technical LeadershipProvide technical leadership across software, systems, manufacturing, operations, and field organizations.Lead architecture reviews and design reviews.Mentor engineers across multiple levels.Establish coding, deployment, and operational standards.Serve as escalation leader for critical system issues affecting customers and manufacturing operations.Product StrategyDefine HPC platform roadmap.Evaluate emerging technologies in:GPU computingAI infrastructureStorage architecturesVirtualizationCloud integrationHigh-speed networkingPartner with product management and business leadership on long-term HPC strategy.Required Skills And Experience:Expert Linux knowledge:RHELRockyAlmaLinuxUbuntuSUSEHPC TechnologiesSGESLURMKubernetesDistributed computing architecturesNUMA optimizationMPI conceptsGPU workload schedulingInfrastructureNVIDIA GPU ecosystemsHigh-speed EthernetRDMANVMe storageParallel file systemsNAS/NFS architecturesVirtualizationVMwareProxmoxKVMContainer technologiesSoftware DevelopmentPythonC++BashGitCI/CD pipelinesAnsibleInfrastructure automation frameworksSystem ArchitectureService-oriented designScalability engineeringReliability engineeringHigh availabilityDisaster recoveryCapacity modelingPerformance benchmarking and tuningMinimum QualificationsDoctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12-15 years
Senior HPC Software & Systems Architect in milpitas at Unknown Company
This position is listed as full time and onsite.