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# Senior Engineer, GPU Performance Architect (PPA)

- **Company:** Samsung
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $124,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Engineering, Software Debugging, Decision Support Systems, Python (Programming Language), OpenGL, SystemVerilog, Verilog, Graphics Processing Unit (GPU), Information Technology, Low Latency
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/ad310b46-82da-47e5-bd00-dbee22f28624

## About the Role

* 2+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or a Master's degree.

 * 2+ years of experience in broad GPU system-level architecture (not limited to a specific block), performance analysis, verification, and optimization.
 * Hands-on experience in RTL (System Verilog/Verilog).
 * Familiarity with waveform level debugging tools (e.g., Synopsys Verdi) and RTL debugging.
 * Solid programming skills in in C/C++ and Python.
 * Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions
 * Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Nice to Have:

 * Experience with prototyping GPU optimizations.
 * Experience with GPU profiling tools (e.g., RenderDoc, PIX, AMD RGP, Nvidia Nsight) to analyze and optimize graphics performance, power consumption, and system-level interactions.
 * Knowledge of OpenGL, Vulkan, DX11/12.
 * Experience with mobile platforms.

## Description

As a Senior Engineer, GPU Architect, you will work on the analysis, verification, and optimization of end-to-end system performance for Samsung's premium mobile GPUs.

In this mid-to-senior individual contributor role, you will contribute to the performance strategy and guide architectural decisions that define the efficiency and scalability of Samsung's GPU designs. You bring expertise in GPU architecture, performance analysis and verification, waveform-level and RTL debugging, with curiosity for advancing performance and power efficiency across complex systems.

 * You are passionate about contributing to the design and execution of advanced performance modeling and analysis for GPU pipelines-including shader-level analysis, pipeline optimization, system-level characterization, and architectural prototyping.

 * You enjoy learning about building and refining models and tools using C/C++, Python, and cycle-approximate frameworks to analyze and validate key metrics (such as latency, throughput, and power consumption), developing benchmarks, identifying bottlenecks, and proposing data-driven optimizations.

 * You ensure design excellence and correctness through prototyping, model-to-RTL correlation, and deep-dive validation-including simulation, waveform analysis using tools like Synopsys Verdi, functional debug, and performance verification against required specifications.
 * You proactively seek cross-functional collaboration with global teams, clearly communicate architecture proposals to diverse audiences, and exercising data-driven decision making to ensure seamless integration of the GPU into the overall system.
 * You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.