Hybrid Staff Engineer, GPU Architect

at Samsung Electronics

• Job title: Staff Engineer, GPU Architect
• Job type: Full Time
• Experience level: Lead
• Salary: $151,000 - $251,800 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Ray
• Location requirements: Hybrid, San Jose, United States

About the role

• Staff GPU Architect at Samsung designing advanced GPU architecture for Exynos chipset. Contributing to architectural strategy and developing next-generation GPU designs for high-performance computing.

Responsibilities

• Help shape the future of advanced GPU architecture for Samsung’s Exynos chipset.
• Redefine what’s possible in graphics by contributing to architectural strategy and hands-on development of next-generation GPU designs.
• Deliver high-performance, power-efficient, and scalable GPUs.
• Define, develop, and implement new SoC architectures and features for premium mobile and related product platforms.
• Learn end-to-end design and optimization of GPU architectures.
• Balance performance, power, and area (PPA), while anticipating emerging applications such as ray tracing, AI, and AR/VR.
• Contribute to technical roadmaps, support product planning, and evaluate long-term GPU architecture strategy.
• Collaborate cross-functionally with global teams and communicate architecture proposals clearly.
• Exercise data-driven decision making to ensure seamless integration of the GPU into the overall system.
• Advance best practices and methodologies by staying ahead of industry trends and emerging technologies.

Requirements

• 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.

Benefits

• 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
• MBO bonus compensation based on performance
• long term incentive plan
• relocation assistance