HPC Product Development Engineer (Kubernetes/Shell/Python)

Base Pay Range: $111,300.00 - $189,200.00 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 identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

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 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

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. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.

Job Description/Preferred Qualifications

In this role you will be working on building a Linux cluster into the sub system provisioning the hardware and installing the operating system to enable the ML/AI algorithms to run on the hardware! Your primary responsibilities include leading and driving efforts to prototype groundbreaking computational technologies, optimize cost, computation time and collaborate with peers to transition prototypes to production. Additional job responsibilities include qualification of the technology stack, diagnostics development, improve monitoring, observability, and support critical issues for new and legacy products.

Required Technical Qualifications:

• Experience working with AI/ML training clusters and tools like Kubernetes.
• In-depth knowledge of one or more flavors of Linux: SUSE, Redhat, CentOS, Alma, Ubuntu including experience in System-D, Net boot/PXE, Linux HA.
• Experience with few of listed Configuration Management utilities. (Ansible, Salt, Chef, Puppet etc.)
• Ability to code in Shell and/or Python.or equivalent experience.
• Network interconnect configuration and monitoring experience (e.g., InfiniBand, Ethernet).
• Experience with Server Hardware, GPUs, and knowledge of CUDA.

Prefer Qualifications:

• Possess a strong DevOps focus: Knowledge of setting up a continuous development pipeline (Jenkins), Repository software (Git-based), Docker Containers.
• Consistent record in developing visualizations using Prometheus/Grafana stack, Experience with NoSQL Databases.
• Knowledge of Apache/NGINX, Setting up proxy/reverse proxy, application server routing, load balancing (HA Proxy). Knowledge of PKI & SSL/TLS certificate management

Key Soft Skills and Abilities:

• Team Oriented &a