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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Engineer, AI Infrastructure - **Company:** Samsung - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $180,200.0 - $297,200.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Big Data, C++ (Programming Language), Distributed Systems, Electronic Design Automation, InfiniBand, Python (Programming Language), Machine Learning, PCI Express, Tensorflow, Systems Architecture, System Programming, AI Infrastructure, Data Processing, High Performance Computing, Pytorch, Containerization, Kubernetes, Storage Technologies, Information Technology, Data Analytics, Data Management, Slurm, Machine Learning Operations, Physical Design, Data Pipelines, Docker - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=21b9b51d342778cd ## About the Role * 11+ years of experience with a Bachelor's degree in Computer Science/Electrical/Engineering or related field, or 9+ years with a Master's degree, or 7+ years with a Ph.D. * 7+ years of expertise in distributed systems, high-performance computing, and infrastructure design at scale. * Strong experience with containerization and orchestration technologies (e.g., Kubernetes, Docker) and workload schedulers (e.g., Slurm, LSF). * Strong proficiency in systems programming language (e.g., Python, C++), with experience building production-grade software and automation. * Hands-on experience deploying and scaling machine learning frameworks (e.g., PyTorch, TensorFlow) and implementing MLOps practices. * Experience with large-scale data processing, storage architectures, and pipeline orchestration. * Excellent analytical, and problem-solving skills, with the ability to propose data-driven solutions and execute. * Excellent collaboration and communication skills, with the ability to navigate ambiguity and influence in a fast-paced, global team environment., * Working knowledge of semiconductor design workflows and EDA tools. * Experience with high-performance interconnects (e.g., PCIe, NVLink, InfiniBand) or accelerator-based systems. * Working knowledge in GPU physical design, design verification, or CAD environments., This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information. ## Description As a Senior Staff AI Infrastructure Engineer, you will architect and scale the foundational platforms that enable AI-driven silicon development across GPU and system-level design teams. Your work will directly impact how efficiently large-scale simulation, design workflows, and machine learning workloads are executed, accelerating the development, validation, and optimization of Samsung's next-generation IPs. In this high-impact individual contributor role, you will lead the development of distributed, data-intensive infrastructure and data platforms that integrate directly with engineering workflows. You will drive cross-functional collaboration with hardware, software, and system teams to integrate AI capabilities, accelerating scalable model training, data processing, and deployment within the silicon development lifecycle. * Leveraging your expertise in one or more technical areas, you will architect and deploy scalable AI/HPC infrastructure (on-prem, cloud, or hybrid) optimized for EDA workflows, large-scale simulation, and machine learning workloads. * You thrive on developing and operationalizing MLOps pipelines for model training, validation, and deployment integrated with semiconductor design and verification flows. * You elevate technical excellence by building and managing large-scale data pipelines to ingest, process, and serve engineering datasets (e.g., simulation logs, waveform data, layout, silicon telemetry). * You drive adoption of AI-enabled workflows across hardware, software, and system teams to optimize GPU cluster and accelerator utilization through advanced scheduling, orchestration, and system-level tuning. * You inspire high performance by mentoring junior engineers, fostering a culture of ownership and innovation, and staying ahead of emerging AI/ML technologies for high-performance computing. ## 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) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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