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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** KLA-Tencor - **Location:** Milpitas, CA, United States - **Experience:** Expert - **Salary:** $136,300.0 - $231,700.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Artificial Intelligence, Systems Engineering, Bash Shell, Computer Programming, Computer Engineering, Continuous Integration, Data Security, DevOps, Distributed Computing Environment, Firmware, Identity and Access Management, Python (Programming Language), Key Management, Linux System Administration, Machine Learning, Performance Tuning, Role-Based Access Control, Tensorflow, Server Administration, Virtualization Technology, AI Infrastructure, Graphics Processing Unit (GPU), Data Storage Management, Pytorch, Infrastructure as Code (IaC), Build Management, Containerization, AI Platforms, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Data Pipelines, Docker - **Published:** July 15, 2026 - **Apply:** https://kla.wd1.myworkdayjobs.com/Search/job/Milpitas-CA/AI-Platform-Engineer_2638542 ## About the Role * Technical Skills: Linux administration, Kubernetes/Docker, Slurm, Ray, TensorFlow, PyTorch, GPU/TPU optimization, containerization, orchestration, and programming skills. * Infrastructure Knowledge: High speed networking, storage systems, virtualization, and server management. * AI/ML Integration: Understanding of model training, fine-tuning, RAG pipelines, and agentic AI systems * Automation & Scripting: Bash, Python, CI/CD pipelines, infrastructure as code (IaC). * Security: TPM-based encryption, Kubernetes security (RBAC, OPA/Gatekeeper), container security., * Degree in Computer Science, Computer Engineering, or related field * 5-8 years in systems engineering, DevOps, or ML infrastructure * Hands-on experience building AI/GPU cluster, Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years ## Description As an AI Infrastructure Engineer, you will research, evaluate, and develop next-generation hardware and software technologies that enable large-scale AI and machine learning workloads across KLA. You will help design and build the infrastructure that powers model training, inference, networking, storage, data protection, and emerging agentic AI systems. This role sits at the intersection of systems engineering, AI platform development, MLOps, and DevOps, ensuring that AI teams have reliable, scalable, high-performance infrastructure to develop, train, deploy, and operate AI solutions. You will also define and develop reference architectures and platform standards that can be embraced across KLA products and engineering organizations, enabling secure, cost-effective, and repeatable AI infrastructure deployments., * Design & Build AI Infrastructure: Architect, deploy, and operate scalable, secure, and cost-effective AI platforms, distributed training environments, and model serving systems. * Research & Innovation: Evaluate emerging technologies in AI infrastructure, compute, storage, networking, orchestration, and security, and develop reference designs for enterprise adoption. * Hardware & Software Orchestration: Bring up, integrate, and lead AI compute infrastructure while diagnosing hardware, firmware, operating system, and platform issues. * Data & Storage Management: Design and maintain high-performance storage, networking, and data pipelines supporting large-scale AI workloads. * Performance & Reliability: Develop observability and monitoring solutions, optimize AI workload performance, and ensure infrastructure meets reliability and availability targets. * Security & Compliance: Implement security-by-design principles including encryption, identity and access management, secrets management, and AI data security. Contribute to the architecture and implementation capabilities for protecting AI workloads, intellectual property, and sensitive data at KLA. * Collaboration: Partner with AI researchers, data scientists, software engineers, IT, and security teams to align platform capabilities with business and product needs. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)