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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Platform Engineer - **Company:** Globalfoundries U.S. Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $167,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Code Review, Computer Engineering, Database Development, Graph Database, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Search Technologies, Software Engineering, Scripting, Cloud Platform System, Pytorch, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Prompt Engineering, Git, AI Platforms, Deployment Automation, HuggingFace, Machine Learning Operations, Data Pipelines, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3bbfe48fa84adc48 ## About the Role * Experience - Minimum 10 Years in Software Engineering or related field * Strong experience with Python and machine learning frameworks * Knowledge of AI platform concepts (e.g. transformers, embeddings, fine-tuning, model deployment) * Experience developing AI inference pipelines or training workflows in cloud environments and containerized platforms * Proven experience with large language models on different cloud architectures (multi-modal experience would be great!) * Experience with Git, Docker, ML pipelines and model automation scripting * Experience with vector databases, RAG systems, knowledge graphs, prompt engineering or AI platform optimization * Experience working with platform architecture and engineering teams Preferred Qualifications: Master's in Computer Engineering or related field OR 15+ years in Software Engineering or related field. * Familiarity with AI-native technologies. Knowledge of different AI Platforms (e.g. OpenAI, Anthropic, Hugging Face) * Experience working with MLOps and model automation tools * Experience with retrieval-augmented generation (e.g. LangChain, Llama Index, or custom RAG architectures) * Strong communication, collaboration, and listening skills * Strong planning & organizational skills ## Description We are seeking a highly skilled Cloud Platform Engineer to help us build the next-generation Platform around Silicon design. Our goal is to build solutions that provide our customers and partners with an experience that allows them to obtain the highest insights from silicon design knowledge. In this role, you will be involved in various aspects of infrastructure, including natural language processing, vector databases, knowledge graphs, machine learning pipelines, model training and inference, semantic search optimization, retrieval-augmented generation and multi-modal AI deployments. You will also work directly with customers at all stages to gather requirements and improve deliverables based on feedback. This is an exciting opportunity to work in a dynamic environment, that involves interacting with our engineering teams - from design and verification to performance. Security is a crucial component as we build models from the ground up! If you are an innovative problem solver with a deep passion for infrastructure and machine learning technologies, and love building things from the ground up, we want to hear from you! As our mission goes, we are committed to offering "Freedom to Innovate Compute". Join us in this mission to accelerate your impact to the larger industry. Essential Responsibilities: * Natural language processing and semantic understanding for technical documentation * Vector database development and management for IP knowledge retrieval * Machine learning pipeline development for PyTorch, TensorFlow and other relevant frameworks on GPU and cloud environments * Use AI monitoring tools to analyze and optimize models, through MLOps platforms and performance tuning * Code-review complex AI model contributions in any of these areas * Interact with architecture and silicon design teams to implement our next AI platform - provide inputs and drive architectural decisions based on user query needs * Help maintain the documentation and reference implementations that our customers rely on * Work with customers to enable rapid integration of their IP queries for evaluation and development Other Responsibilities: * Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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