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Senior Engineer, GPU Performance Architect; PPA

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-06-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 124000 - 208400 USD Yearly USD 124000.00 208400.00 YEAR
Job Description & How to Apply Below
Position: Senior Engineer, GPU Performance Architect (PPA)

Position Summary

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 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 exercise 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.
Skills and Qualifications
  • 5+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 3+ years of experience with a Master’s Degree, or 1+ years of experience with a Ph.D.
  • 5+ 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 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., Render Doc, 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.
Our Team

The GPU Architect team delivers whole system architecture‑level design for Samsung’s current and next‑generation mobile GPUs. Our work spans a wide range of disciplines—from early‑stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray‑tracing technology that enables console‑level graphics for Samsung Galaxy smartphones.

Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you’ll contribute to the roadmap for next‑generation technologies, broaden…

Position Requirements
10+ Years work experience
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