Samsung
semiconductor technology
SeniorStaffEngineer,AIInfrastructure
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“Senior Staff Engineer, AI Infrastructure at Samsung. Skills: AI Infrastructure, Distributed Systems, MLOps, HPC. Architect and scale foundational platforms. Enable AI-driven silicon development”
What You'll Achieve.
Accelerating the development, validation, and optimization of Samsung’s next-generation IPs; Accelerating scalable model training; Accelerating data processing; Accelerating deployment; Optimize GPU cluster and accelerator utilization
Industry & Context.
Excellent analytical skills; Excellent problem-solving skills; ability to propose data-driven solutions
Ability to access information subject to U. S. export control restrictions, Eligible to receive a government authorization to access export-controlled information, Agree not to disclose to Samsung any confidential or proprietary information
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science/Electrical/Engineering or related field, 7+ years of expertise in distributed systems, 7+ years of expertise in high-performance computing, 7+ years of expertise in infrastructure design at scale, experience with containerization and orchestration technologies, experience with workload schedulers, proficiency in systems programming language, experience building production-grade software, experience building automation, Hands-on experience deploying and scaling machine learning frameworks, implementing MLOps practices, Experience with large-scale data processing, Experience with storage architectures, Experience with pipeline orchestration, Excellent analytical skills, Excellent problem-solving skills, ability to propose data-driven solutions, ability to execute, Excellent collaboration skills, Excellent communication skills, ability to navigate ambiguity, ability to influence in a fast-paced, global team environment, ability to access information subject to U. S. export control restrictions, eligible to receive a government authorization to access export-controlled information
Nice to Have
Working knowledge of semiconductor design workflows, Working knowledge of EDA tools, Experience with high-performance interconnects, Experience with accelerator-based systems, Working knowledge in GPU physical design, Working knowledge in design verification, Working knowledge in CAD environments
What You'll Do.
Architect and scale foundational platforms
Enable AI-driven silicon development
Lead development of distributed
data-intensive infrastructure
Lead development of data platforms
Integrate AI capabilities
Accelerate scalable model training
Accelerate data processing
Accelerate deployment
Architect and deploy scalable AI/HPC infrastructure
Optimize EDA workflows
Optimize large-scale simulation
Optimize machine learning workloads
Develop and operationalize MLOps pipelines
Build and manage large-scale data pipelines
Ingest engineering datasets
Process engineering datasets
Serve engineering datasets
Drive adoption of AI-enabled workflows
Optimize GPU cluster utilization
Optimize accelerator utilization
Mentor junior engineers
Foster a culture of ownership
Foster a culture of innovation
Stay ahead of emerging AI/ML technologies
How You'll Work.
Team & Collaboration
Drive cross-functional collaboration with hardware, software, and system teams; Influence in a fast-paced, global team environment
Communication Scope
Excellent communication skills
Full Job Description
**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, 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 tele
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