Staff Engineer, GPU Front-End Infrastructure/Methodology

Responsibilities

• Shape and advance front-end implementation methodologies for high-quality, scalable RTL across complex GPU and SoC designs
• Empower design and verification teams by removing friction from front-end workflows and addressing methodology gaps
• Own and evolve the RTL flow and build system, including support for agentic AI workflows
• Partner with architecture, verification, CAD, and physical design groups to define best practices and quality standards
• Drive RTL implementation to ensure scalability, architectural alignment, and adherence to performance and power objectives
• Lead moderate-to-complex projects to advance industry best practices and emerging technologies

Requirements

• 6+ years of experience with a Bachelor’s Degree, 4+ years with a Master’s, or 2+ years with a Ph.D. in Computer Science or Engineering
• Hands-on experience designing and building agentic AI tools and workflows
• Proficiency in Python, C++, Perl, Ruby, Go, and shell scripting
• Deep Linux system expertise, including debugging complex system-level issues
• Solid background in DevOps practices, build automation, and build systems (e.g., GNU Make)
• Experience with containerization and orchestration platforms such as Docker, Kubernetes, and OpenShift
• Strong analytical, problem-solving, and technical documentation skills

About the Company

Samsung is a world leader in advanced semiconductor technology. At the Samsung Austin Research and Development Center (SARC), we build high-performance computing IP for mobile, automotive, and custom market segments. Our GPU team develops industry-leading technology, including the Xclipse GPU, which features hardware ray tracing for mobile devices.