Senior Staff Engineer, AI Infrastructure

Position Summary

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!

Role and Responsibilities

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, >

Skills and Qualifications

• 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 >

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