HPC AI Software Infrastructure Lead (E)

Company Overview

Job Description/Preferred Qualifications

HPC/AI Software Infrastructure Leads are core to KLAs technology while we do not currently have an opening we are always building our HPC/AI Software Infrastructure Lead Engineering talent community we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA.

At KLA were pushing the boundaries of semiconductor inspection through advanced AI and high-performance computing. We are looking for a hands-on technical leader to architect and scale the next generation of AI/HPC infrastructure powering our most critical imaging and data platforms. This role is ideal for someone who thrives at the intersection of distributed systems GPU computing and real-world AI workloads and who enjoys building and mentoring high-performing engineering teams while driving technical excellence.

What Youll Do

• Lead the architecture and development of large-scale HPC and AI infrastructure supporting cutting-edge image processing and machine learning workloads
• Design scalable high-performance distributed systems that unify traditional image processing with modern AI/Deep Learning pipelines
• Drive GPU-accelerated computing strategies optimizing performance across compute storage and networking layers
• Partner cross-functionally with hardware algorithms and product teams to deliver robust production-ready platforms
• Establish engineering best practices (code quality CI/CD observability performance tuning) for mission-critical systems
• Mentor and develop engineers providing technical guidance coaching and growth opportunities for junior team members
• Serve as a technical leader and decision-maker influencing architecture and long-term platform strategy

What You Bring

Experience

• 10 years in software engineering including leading and scaling technical teams
• Proven success building distributed systems in HPC AI/ML or cloud-native environments
• Track record of delivering performance-critical infrastructure at scale
• Experience mentoring and growing early- and mid-career engineers

Technical Expertise

• Deep understanding of distributed systems parallel computing and Linux systems programming
• Strong programming skills in C Python or similar systems-level languages
• Experience with GPU computing (CUDA ROCm) and modern AI frameworks (PyTorch TensorFlow etc.)
• Familiarity with high-performance storage systems networking and data pipelines
• Strong foundation in CI/CD DevOps and production system reliability

Bonus Experience

• Background in image processing computer vision or scientific computing
• Experience supporting hybrid HPC AI workloads in production environments

Leadership & Impact

• Passion for developing talent and building inclusive high-performing teams
• Ability to operate as both a hands-on engineer and strategic technical leader
• Strong communication skills with the ability to influence across engineering and product stakeholders

Why KLA / Why Ann Arbor

• Work on real-world AI systems at scale not just experiments
• Collaborate across hardware software and algorithm teams in a deeply technical environment
• Join a growing engineering presence in Ann Arbor with access to top talent and a strong technical community
• Opportunity to shape the direction of AI infrastructure in a core product domain

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 years

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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