below marketmost similar roles pay hereabove market
This role pays less than
86%
of similar roles. Most pay
$177,250–$235,750
— the blue band above.
At the midpoint, this role pays about
$166k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Samsung Electronics
Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.
Samsung Electronics currently has
94 open roles
on FindRole.
Listed pay typically runs
$106,000–$174,500
across 85 roles with salary data.
JOB TITLE: Senior Engineer, GPU Graphic Core Performance Verification
As a Senior Engineer, GPU Graphic Core Performance Verification, you will join the GPU Architect team to lead pre-silicon performance verification and correlation for next-generation GPU and system-level IP. You will develop scalable test infrastructure, workloads, and profiling tools to characterize performance across simulation, emulation, and silicon environments. Your daily work involves analyzing performance behavior, identifying bottlenecks, and driving data-driven optimization strategies for graphics and compute workloads. You will utilize C++, Python, and Linux development environments while working with APIs like OpenGL, Vulkan, and OpenCL. The role focuses on architectural validation and performance predictability for mobile and automotive segments, ensuring that GPU designs meet targeted expectations across complex graphics pipelines and emerging AI/ML compute trends within a high-performance computing context.
Lead pre-silicon performance verification and correlation for next-generation GPU and system-level IP.
Architect and drive performance verification strategies, methodologies, and execution flows for graphics core validation.
Develop and maintain performance verification infrastructure, including test environments, workloads, and profiling tools.
Analyze and correlate performance behavior across architectural models, RTL, emulation, and silicon environments.
Identify performance bottlenecks and drive data-driven optimization strategies for graphics and compute workloads.
Debug performance issues and guide performance tuning from early architectural exploration through silicon bring-up.
Define performance targets and align workload behavior with architectural intent in collaboration with cross-functional teams.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or a Master's degree.
2+ years of experience in the field.
Strong experience in GPU performance verification, architectural validation, workload analysis, or performance modeling for GPU, CPU, or complex SoC designs.
Strong understanding of GPU architecture, graphics pipelines, compute workloads, and microarchitecture performance behavior.
Strong hands-on programming experience in C++ and Python within Linux development environments.