{"id":110846,"url":"https://alion.io/job/kla-corporation-hpc-ai-software-infrastructure-lead-e","title":"HPC / AI Software Infrastructure Lead (E)","company":{"id":2407,"name":"KLA Corporation","domain":"kla.com","url":"https://alion.io/company/kla","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":98,"ghost_share":0,"stale_share":0.52,"repost_share":0.01,"time_to_fill_p50_days":57,"computed_at":"2026-11-05T05:54:30Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":263000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":565},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-30","last_verified_at":"2026-11-05T21:03:15Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Company Overview\nKLA 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/PreferredQualifications\nHPC/AI Software Infrastructure Leadsare core to KLA’s technology, while we do not currently have an opening, we are always building ourHPC/AI Software Infrastructure LeadEngineering talent community, we are interested in learning about your background.\nApply to this posting for Future Opportunities with KLA.\nAt 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.\nWhat You’ll Do\nLead the architecture and development of large-scale HPC and AI infrastructure supporting cutting-edge image processing and machine learning workloads\nDesign scalable, high-performance distributed systems that unify traditional image processing with modern AI/Deep Learning pipelines\nDrive GPU-accelerated computing strategies, optimizing performance across compute, storage, and networking layers\nPartner cross-functionally with hardware, algorithms, and product teams to deliver robust, production-ready platforms\nEstablish engineering best practices (code quality, CI/CD, observability, performance tuning) for mission-critical systems\nMentor and develop engineers, providing technical guidance, coaching, and growth opportunities for junior team members\nServe as a technical leader and decision-maker, influencing architecture and long-term platform strategy\nWhat You Bring\nExperience\n10+ years in software engineering, including leading and scaling technical teams\nProven success building distributed systems in HPC, AI/ML, or cloud-native environments\nTrack record of delivering performance-critical infrastructure at scale\nExperience mentoring and growing early- and mid-career engineers\nTechnical Expertise\nDeep understanding of distributed systems, parallel computing, and Linux systems programming\nStrong programming skills in C++, Python, or similar systems-level languages\nExperience with GPU computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow, etc.)\nFamiliarity with high-performance storage systems, networking, and data pipelines\nStrong foundation in CI/CD, DevOps, and production system reliability\nBonus Experience\nBackground in image processing, computer vision, or scientific computing\nExperience supporting hybrid HPC + AI workloads in production environments\nLeadership & Impact\nPassion for developing talent and building inclusive, high-performing teams\nAbility to operate as both a hands-on engineer and strategic technical leader\nStrong communication skills with the ability to influence across engineering and product stakeholders\nWhy KLA / Why Ann Arbor\nWork on real-world AI systems at scale, not just experiments\nCollaborate across hardware, software, and algorithm teams in a deeply technical environment\nJoin a growing engineering presence in Ann Arbor, with access to top talent and a strong technical community\nOpportunity to shape the direction of AI infrastructure in a core product domain\nMinimum Qualifications\nDoctorate (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 years\nBase 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.\nKLA 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 +1-408-352-2808to requestaccommodation.\nBe 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  to confirm the person you are communicating with is an employee. 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