Senior HPC Software & Systems Architect

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop smartphone wearable device voice-controlled gadget flexible screen VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles integrated circuits packaging printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists engineers data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

Enabling the movement toward advanced chip design KLAs 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 teams mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variationsat their sourcerather 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. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies thereby providing customers with critical insight at the feature level field level and cross-wafer analysis. Our teams also develop advanced modeling simulation data analytics and process control modeling technologies. As a member of the MACH team youll be joining the most sophisticated and successful process-control company in the semiconductor industry--working across functions to solve the most complex technical problems in the digital age.

Job Description/Preferred Qualifications

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

• Define 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.

• Design 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.

• Provide 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.

• Define HPC platform roadmap.
• Evaluate emerging technologies in:
  • GPU computing
  • AI infrastructure
  • Storage architectures
  • Virtualization
  • Cloud integration
  • High-speed networking

• Partner with product management and business leadership on long-term HPC strategy.

• RHEL
• Rocky
• AlmaLinux
• Ubuntu
• SUSE

• SGE
• SLURM
• Kubernetes
• Distributed computing architectures
• NUMA optimization
• MPI concepts
• GPU workload scheduling

• NVIDIA GPU ecosystems
• High-speed Ethernet
• RDMA
• NVMe storage
• Parallel file systems
• NAS/NFS architectures

• VMware
• Proxmox
• KVM
• Container technologies

• Python
• C
• Bash
• Git
• CI/CD pipelines
• Ansible
• Infrastructure automation frameworks

• Service-oriented design
• Scalability engineering
• Reliability engineering
• High availability
• Disaster recovery
• Capacity modeling
• Performance benchmarking and tuning

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 5 years; Masters Level Degree and related work experience of 8 years; Bachelors Level Degree and related work experience of 12-15 years

Base Pay Range: $186200.00 - $316500.00 Annually

Primary Location: USA-CA-Milpitas-KLA

KLAs total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical dental vision life and other voluntary benefits 401(K) including company matching employee stock purchase program (ESPP) student debt assistance tuition reimbursement program development and career growth opportunities and programs financial planning benefits wellness benefits including an employee assistance program (EAP) paid time off and paid company holidays and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role level and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors including state minimum pay wage rates location job-related skills experience and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us at or at 1- to request accommodation.

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