What You’ll 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; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years
Base Pay Range: $151,100.00 - $256,900.00
Primary Location: USA-MI-Ann Arbor-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 talent.acquisition@kla.com 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
