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# HPC / AI Software Infrastructure Lead E

- **Company:** KLATencor Corporation
- **Location:** Ann Arbor, MI, United States
- **Experience:** Expert
- **Salary:** $151,100.0 - $256,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Cloud Computing, Software Quality, Nvidia CUDA, Computer Programming, Continuous Integration, Linux, DevOps, Distributed Systems, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Scientific Computating, Software Engineering, Software Systems, AI Infrastructure, Pytorch, Deep Learning, Parallel Computation, Data Pipelines
- **Published:** August 17, 2026
- **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/402416342

## About the Role

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, 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

## Description

HPC/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., 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, 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


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