Senior Staff Engineer, Post-Silicon GPU Power & Performance

Samsung Electronics•Austin, TX

About The Position

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 GPU Post-Silicon Power and Performance Engineer, you will lead post-silicon characterization, analysis, and optimization of power and performance for Samsung’s next-generation GPU IPs. In this high-impact individual contributor role, you will drive silicon bring-up, workload analysis, and data-driven insights across real-world use cases, partnering closely with architecture, software, and validation teams to ensure optimal performance and energy efficiency. You bring deep expertise in post-silicon validation, system-level analysis, and automation to enable scalable measurement infrastructure and accelerate debug and product readiness. Leveraging your expertise in post-silicon validation, you characterize GPU power, performance, and leakage across diverse benchmarks and real-world workloads, delivering actionable insights to guide optimizations. You advance cross-functional collaboration with architecture and software teams to support measurement requests, correlate silicon data with pre-silicon models, and ensure alignment across power, performance, and system-level expectations. You drive automation and infrastructure development for power and performance data collection, analysis, and workload enablement, improving scalability, consistency, and engineering efficiency. You lead silicon bring-up and debug activities, including board-level hardware/software enablement and root-cause analysis of issues impacting measurement accuracy, stability, and performance. You inspire high performance by leading complex technical investigations, mentoring engineers, and advancing methodologies and tools by staying ahead of emerging GPU technologies, workloads, and performance analysis techniques. Our Team The Central Engineering organization at SARC/ACL drives technology enablement for GPU and SoC development by delivering critical engineering infrastructure, IP, and services across emulation, compute, silicon validation, and manufacturing readiness. Spanning the full development lifecycle, our teams partner closely with design and manufacturing stakeholders to support early silicon engagement, system bring-up, validation, power and performance analysis, debug, and test coverage—ensuring efficient execution and production readiness at scale. Within Central Engineering, the Silicon & Emulation team focuses on emulation platforms, silicon validation, and system-level analysis to enable functional correctness and optimized power and performance. You will join a team that operates at the intersection of multiple engineering domains to solve real-world challenges, see the impact of your work, and experience innovation in a collaborative environment that values ownership, continuous learning, and technical excellence.

Requirements

11+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 9+ years of experience with a Master’s Degree, or 7+ years of experience with a Ph.D.
11+ years of hands-on experience in post-silicon power/performance analysis, validation, or system-level debug in GPU, CPU, or complex SoC environments.
Deep understanding of system-level architecture, including GPU/CPU subsystems, and power and performance measurement methodologies.
Hands-on lab experience with board bring-up, schematics, scopes, debuggers, and data acquisition tools.
Strong experience with performance analysis tools and familiarity with industry-standard GPU/CPU benchmarks and workloads.
Strong programming and scripting skills in Python, C/C++, shell scripting, and experience with SQL/databases.
Experience with Linux and Android systems, with familiarity in kernel-level debugging or development.
Experience with leading complex technical initiatives, driving process and methodology innovation, and mentoring engineers.
Excellent collaboration and communication skills, with the ability to navigate ambiguity and influence in a fast-paced, global environment.

Responsibilities

Lead post-silicon characterization, analysis, and optimization of power and performance for Samsung’s next-generation GPU IPs.
Drive silicon bring-up, workload analysis, and data-driven insights across real-world use cases, partnering closely with architecture, software, and validation teams to ensure optimal performance and energy efficiency.
Characterize GPU power, performance, and leakage across diverse benchmarks and real-world workloads, delivering actionable insights to guide optimizations.
Advance cross-functional collaboration with architecture and software teams to support measurement requests, correlate silicon data with pre-silicon models, and ensure alignment across power, performance, and system-level expectations.
Drive automation and infrastructure development for power and performance data collection, analysis, and workload enablement, improving scalability, consistency, and engineering efficiency.
Lead silicon bring-up and debug activities, including board-level hardware/software enablement and root-cause analysis of issues impacting measurement accuracy, stability, and performance.
Inspire high performance by leading complex technical investigations, mentoring engineers, and advancing methodologies and tools by staying ahead of emerging GPU technologies, workloads, and performance analysis techniques.