Staff Engineer, GPU Graphic Core Performance Verification

Samsung Electronics

Confirmed live 2 days ago Trusted
Remote

Quick summary

Work type
Remote
Location
San Jose, CA
Salary
$167,800–$251,800 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 29, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $210k
$141k most similar roles pay here $264k

This role pays more than 59% of similar roles. Most pay $177,187–$235,750 — the shaded band above. At the midpoint, this role pays about $210k 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 58 roles with salary data.

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At a glance

TL;DR · Staff Engineer, GPU Graphic Core Performance Verification

Staff Engineer, GPU Graphic Core Performance Verification will join the GPU Architect team to lead pre-silicon performance verification and correlation for next-generation GPU and system-level IP. This individual contributor role involves developing scalable test infrastructure, analyzing complex graphics and compute workloads, and identifying bottlenecks across architectural models, RTL, emulation, and silicon environments. The successful candidate will collaborate with cross-functional teams to ensure performance predictability and guide tuning from early exploration through silicon bring-up. Required skills include proficiency in C++ and Python within Linux environments, experience with GPU architecture, and familiarity with graphics and compute APIs like OpenGL, Vulkan, or OpenCL. Candidates should possess expertise in performance modeling, profiling tools, and automation frameworks to solve challenges related to high-performance computing, including ray tracing, AI/ML workloads, and heterogeneous compute systems for mobile and automotive segments.

What you'll do

  • Lead pre-silicon performance verification and correlation for next-generation GPU and system-level IP.
  • Develop and maintain scalable test infrastructure, including profiling tools, automation frameworks, and workload characterization methodologies.
  • Analyze and correlate performance behavior across architectural models, RTL simulation, emulation, and silicon environments.
  • Identify hardware bottlenecks and drive data-driven optimization strategies to improve GPU efficiency.
  • Define performance targets and align workload behavior with architectural intent in collaboration with cross-functional teams.
  • Develop execution flows for graphics core and GPU subsystem validation.
  • Mentor engineers and advance performance verification methodologies to stay ahead of emerging AI/ML compute trends.

What we're looking for

  • Bachelor's degree with 6+ years experience, Master's with 4+ years, or PhD with 2+ years in a relevant technical field.
  • Strong experience in GPU performance verification, architectural validation, workload analysis, or performance modeling for GPU, CPU, or SoC designs.
  • Deep understanding of GPU architecture, graphics pipelines, compute workloads, and microarchitecture performance behavior.
  • Hands-on programming experience in C++ and Python within Linux development environments.
  • Experience developing performance tests, profiling infrastructure, automation frameworks, and workload characterization methodologies.
  • Experience analyzing and correlating performance across architectural models, RTL simulation, emulation, and silicon environments.
  • Familiarity with graphics and compute APIs such as OpenGL, Vulkan, OpenCL, or related GPU software stacks.
  • Authorization to access information subject to U.S. export control laws.

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