HPC / AI Software Infrastructure Lead (E) (Ann Arbor)

Company OverviewKLA 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.Job Description/Preferred QualificationsHPC/AI Software Infrastructure Leads are core to KLA’s 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, we’re 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 You’ll DoLead the architecture and development of large-scale HPC and AI infrastructure supporting cutting-edge image processing and machine learning workloadsDesign scalable, high-performance distributed systems that unify traditional image processing with modern AI/Deep Learning pipelinesDrive GPU-accelerated computing strategies, optimizing performance across compute, storage, and networking layersPartner cross-functionally with hardware, algorithms, and product teams to deliver robust, production-ready platformsEstablish engineering best practices (code quality, CI/CD, observability, performance tuning) for mission-critical systemsMentor and develop engineers, providing technical guidance, coaching, and growth opportunities for junior team membersServe as a technical leader and decision-maker, influencing architecture and long-term platform strategyWhat You BringExperience10+ years in software engineering, including leading and scaling technical teamsProven success building distributed systems in HPC, AI/ML, or cloud-native environmentsTrack record of delivering performance-critical infrastructure at scaleExperience mentoring and growing early- and mid-career engineersTechnical ExpertiseDeep understanding of distributed systems, parallel computing, and Linux systems programmingStrong programming skills in C++, Python, or similar systems-level languagesExperience with GPU computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow, etc.)Familiarity with high-performance storage systems, networking, and data pipelinesStrong foundation in CI/CD, DevOps, and production system reliabilityBonus ExperienceBackground in image processing, computer vision, or scientific computingExperience supporting hybrid HPC + AI workloads in production environmentsLeadership & ImpactPassion for developing talent and building inclusive, high-performing teamsAbility to operate as both a hands-on engineer and strategic technical leaderStrong communication skills with the ability to influence across engineering and product stakeholdersWhy KLA / Why Ann ArborWork on real-world AI systems at scale, not just experimentsCollaborate across hardware, software, and algorithm teams in a deeply technical environmentJoin a growing engineering presence in Ann Arbor, with access to top talent and a strong technical communityOpportunity to shape the direction of AI infrastructure in a core product domainMinimum QualificationsDoctorate (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 yearsBase Pay Range: $151,100.00 - $256,900.00Primary Location: USA-MI-Ann Arbor-KLAKLA’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 View email address on apply.placed-app.com or at View phone number on apply.placed-app.com 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 View email address on apply.placed-app.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. SummaryLocation: Ann Arbor, MIType: Full time