HPC Software & Systems Architect

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 Architecture

• 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.

Software Architecture

• 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.

Technical Leadership

• 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.

Product Strategy

• 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.

• Rocky
• AlmaLinux
• Ubuntu
• SUSE

HPC Technologies

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

Infrastructure

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

Virtualization

• VMware
• Proxmox
• KVM
• Container technologies

Software Development

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

System Architecture

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

Base Pay Range: $186,200.00 - $316,500.00 Annually

Primary Location: USA-CA-Milpitas-KLA

KLA’s 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 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 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.

Group/Division

Enabling the movement toward advanced chip design, KLA’s 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. 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, you’ll 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.