Hiring.Camp

Staff Engineer, GPU Architect

Samsung

·

Feb 4, 2026

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Location
3655 N 1st St, San Jose, CA, USA, United States of America · 9808 Scranton Rd, San Diego, CA, USA
Workplace
Onsite
Department
Engineering
Seniority
Senior
Experience
6+ years
Education
PhD
Closing date
Aug 31, 2026
Source
Workday

Description

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 Staff GPU Architect, you will help shape the future of advanced GPU architecture for Samsung’s Exynos chipset. 

In this mid-to-senior individual contributor role, you will redefine what’s possible in graphics by contributing to architectural strategy and hands-on development of next-generation GPU designs. You bring expertise in GPU pipelines, hardware design, and computer architecture, with a curiosity to deliver high-performance, power-efficient, and scalable GPUs.

  • You are passionate about defining, developing, and implementing new SoC architectures and features for premium mobile and related product platforms.
  • You enjoy learning about end-to-end design and optimization of GPU architectures, balancing performance, power, and area (PPA), while anticipating emerging applications such as ray tracing, AI, and AR/VR.
  • You ensure design excellence by contributing to technical roadmaps, supporting product planning, and help evaluating long-term GPU architecture strategy.
  • 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.

Skills and Qualifications

  • 6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience with a Ph.D.
  • 6+ years of experience in GPU architecture, design, or development, with a focus on high-performance, low-power designs.
  • Knowledge of graphics and GPU pipelines, hardware design, and computer architecture.
  • Knowledge of emerging technologies, such as ray tracing, AI, and machine learning.
  • Strong analytical and problem-solving skills, with the ability to analyze complex systems and optimize performance, power, and area.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Preferred qualifications:

  • Experience with CPU, NPU, or other complex processing units, such as ARM, x86, or RISC-V.
  • Experience in performance modeling, analysis and optimization.

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 your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Total Rewards

At Samsung – SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $151,000 and $251,800. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additionally, this role might be eligible to participate in long term incentive plan and relocation.

This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).

U.S. Export Control

This position requires the ability to access information subject to U.S. export control restrictions.  Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.

Trade Secrets

By submitting an application, you [applicant] agree[s] not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.

#SARC

#ACL

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Skills

Machine Learning

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