Software Engineer - HPC

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 LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Job Description:

Are you passionate about software engineering and computer engineering? Do you thrive on developing systems and software for AI and machine learning platforms? If so, we would love to hear from you!

As an AI & HPC Software Infrastructure Engineer, you will play a crucial role in developing and maintaining the software infrastructure that drives our advanced AI and machine learning solutions for wafer inspection systems. In this position, you will be at the forefront of innovation, ensuring that our technology remains cutting-edge and efficient.

Key Responsibilities:

• Design, develop, and optimize software infrastructure for high-performance computing (HPC) systems tailored to AI and machine learning applications.
• Collaborate with cross-functional teams to integrate AI and machine learning algorithms into scalable and efficient HPC environments.
• Implement robust and scalable solutions to manage data processing, storage, and retrieval for AI workloads.
• Ensure the reliability, security, and performance of the AI infrastructure through continuous monitoring and improvement.
• Participate in code reviews, testing, and debugging to maintain high-quality software standards.
• Stay updated with the latest advancements in AI, HPC, and software engineering to drive innovation within the team.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Proven experience in software engineering, with a focus on HPC and AI infrastructure development.
• Strong programming skills in languages such as Python, C++, and Java.
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch) and HPC technologies (e.g., MPI, CUDA).
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Passion for AI and machine learning, with a keen interest in developing infrastructure that drives these technologies forward.

Preferred Qualifications:

• Experience in developing large scale distribution applications.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of data engineering and big data technologies (e.g., Hadoop, Spark).

Why Join Us:

• Opportunity to work on cutting-edge AI and HPC projects that have a significant impact on the industry.
• Collaborative and innovative work environment with a focus on continuous learning and growth.
• Competitive salary and benefits package

Minimum Qualifications

Doctorate (Academic) and 0 years of experience , Master's Level Degree and 2 years of experience , or Bachelor's Level Degree and 5 years of experience

Base Pay Range: $130,400.00 - $221,700.00 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 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 [email protected] or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees.  KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings.  KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.  If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.