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.
Job Description/Preferred Qualifications
Position Summary
Develop, deploy, and support software infrastructure for High-Performance Computing (HPC) systems used for semiconductor data processing, computational lithography, AI workloads, and distributed compute platforms. Work with Linux-based clusters, schedulers, storage systems, networking fabrics, virtualization platforms, and automation frameworks to improve reliability, scalability, and performance.
Responsibilities
- Develop and maintain Python, Bash, and system automation tools.
- Support Linux-based HPC clusters (RHEL, Rocky, AlmaLinux, Ubuntu).
- Assist with deployment and maintenance of compute nodes, storage, and networking infrastructure.
- Configure and troubleshoot schedulers such as SGE, SLURM, or equivalent.
- Develop tooling for cluster monitoring, provisioning, and software deployment.
- Collaborate with software, algorithm, systems, manufacturing, and field teams.
- Debug performance, scalability, and reliability issues across distributed systems.
- Participate in code reviews, CI/CD, testing, and release activities.
- Create operational runbooks, deployment procedures, and technical documentation.
- Support customer and manufacturing escalations.
Preferred Qualifications
- HPC cluster experience.
- SGE, SLURM, Kubernetes, or container technologies.
- GPU computing (CUDA/NVIDIA ecosystem).
- Configuration management (Ansible, Puppet, Chef, Salt).
- CI/CD frameworks and DevOps workflows.
- Storage technologies including NFS, NAS, RAID, and parallel file systems.
- Independently implement features and fixes.
- Own small-to-medium technical projects.
- Troubleshoot and resolve operational issues.
- Contribute to architecture discussions.
Minimum Qualifications
Bachelor's Level Degree and 0-2 years related work experience
- BS/MS in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2+ years of software development or systems engineering experience.
- Strong Linux fundamentals.
- Experience with Python and Shell scripting.
- Experience with Git and modern software development practices.
- Understanding of TCP/IP networking, DNS, DHCP, NFS, and system services.
- Familiarity with virtualization technologies such as VMware, Proxmox, or KVM.
Base Pay Range: $94,600.00 - $160,800.00 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.
