Senior GPU Performance Verification Engineer

Samsung Electronics America; San Jose (CA); On-site; USD 168,000 - 252,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

401(k)

Onsite lunch

Employee purchase program

Tuition assistance

Paid time off

Student loan program

Wellness incentives

Job summary

Samsung Electronics America, Inc. seeks a senior GPU performance verification engineer to influence architectural validation, workload analysis and pre-silicon strategies. You will develop scalable test infra, analyze graphics workloads, and guide performance tuning across models, emulation, and silicon environments.

Collaboration with architecture, RTL, modeling, and software teams is essential. The role emphasizes leadership, mentoring, and driving data-driven optimization while staying ahead

Qualifications

• 6+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 4+ years of experience with a Master's degree, or 2+ years of experience with a PhD.
• 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.
• Experience developing performance tests, profiling infrastructure, automation frameworks, and workload characterization methodologies.
• Strong experience analyzing and correlating performance behavior across architectural models, RTL simulation, emulation, and/or silicon environments.
• Familiarity with graphics and compute APIs such as OpenGL, Vulkan, OpenCL, or related GPU software stacks.
• Excellent analytical and problem-solving skills, with the ability to identify bottlenecks, propose solutions and guide teams through implementation.
• Excellent communication and collaboration skills, with the ability to navigate ambiguity and influence in a fast-paced, global team environment.

Responsibilities

• Your work will directly influence architectural validation, performance predictability, and workload optimization by ensuring GPU designs meet targeted performance expectations across architectural models, emulation, and silicon environments.
• In this high-impact individual contributor role, you will contribute to performance verification strategy, develop scalable test infrastructure, and analyze GPU performance behavior across complex graphics and compute workloads.
• You partner closely with GPU architecture, modeling, RTL, and validation teams to identify bottlenecks, debug performance issues, and guide performance tuning from early architectural exploration through silicon bring-up.
• Leveraging your expertise in GPU architecture and performance analysis, you architect and drive pre-silicon performance verification strategies, methodologies, and execution flows for graphics core and GPU subsystem validation.
• You develop and maintain performance verification infrastructure, including test environments, workloads, profiling tools, automation, and scalable verification flows to characterize GPU performance across simulation, emulation, and architectural platforms.
• You ensure technical excellence by analyzing, correlating, and comparing performance behavior across architectural models, RTL, emulation, and silicon, identifying bottlenecks and driving data-driven optimization strategies.
• You lead cross-functional collaboration with GPU architecture, Modeling, RTL, Verification, and Software teams to define performance targets, debug performance issues, align workload behavior with architectural intent, and improve overall GPU efficiency and scalability.
• You inspire high performance by mentoring engineers, advancing performance verification methodologies, and fostering a culture of ownership, innovation, and continuous learning while staying ahead of emerging GPU architectures, graphics workloads, and AI/ML compute trends.

Skills

GPU performance verification

Architectural validation

Workload analysis

C++

Python

Performance tests

Profiling infrastructure

Automation frameworks

RTL/Emulation analysis

OpenGL

Vulkan

OpenCL

Education

Bachelor's degree in Computer Science/Computer Engineering/relevant technical field

Master's degree

PhD

Tools

SystemC

Job description

Samsung Electronics America, Inc. seeks a senior GPU performance verification engineer to influence architectural validation, workload analysis and pre-silicon strategies. You will develop scalable test infra, analyze graphics workloads, and guide performance tuning across models, emulation, and silicon environments.

Collaboration with architecture, RTL, modeling, and software teams is essential. The role emphasizes leadership, mentoring, and driving data-driven optimization while staying ahead