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Samsung Electronics
9808 Scranton Rd, San Diego, CA, USA; 3655 N 1st St, San Jose, CA, USA
Source: Samsung Electronics careers · View original posting
From Samsung Electronics's posting. “We” and “our” refer to the employer.
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 powers high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Join us to shape the future of GPU memory systems!
Role and Responsibilities
As a Staff GPU Memory Architect, you will drive the definition, architecture, and implementation of next‑generation GPU memory subsystems and on‑chip interconnects for Samsung’s Exynos chipset.
In this mid-to-senior individual contributor role, you will directly influence performance, power, and area (PPA) of GPUs used in premium mobile and emerging AI workloads.
Lead architecture studies and micro‑architecture development for GPU global memory hierarchies, cache structures, and high‑bandwidth memory interfaces.
Define and champion innovative features for next‑generation GPU memory and on‑chip interconnect subsystems, targeting optimal PPA.
Collaborate with cross‑functional teams (GPU pipeline, CPU/NPU architects, silicon validation, physical design, software) to ensure seamless integration of memory blocks into the overall system‑on‑chip (SoC).
Build and maintain performance‑power‑area models; run architectural trade‑studies for emerging workloads such as ray‑tracing, AI inference, and large‑scale graphics.
Drive data‑driven decision making by producing architectural roadmaps, design specifications, and validation plans.
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 machine learning or graphics and GPU pipelines, hardware design, and computer architecture.
Proven track record of analyzing and optimizing memory subsystems to improve PPA.
Deep knowledge of memory hierarchies (caches, shared memory, SRAM, DRAM), bandwidth‑allocation policies, coherence protocols, and on‑chip interconnect.
Strong background in low‑power design techniques and performance‑modeling tools (analytical models, RTL‑level simulation).
Experience with emerging GPU workloads such as ray tracing, AI/ML inference, and AR/VR, and ability to translate algorithmic requirements into memory‑system specifications.
Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.
Compensation
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).
Trade Secrets
U.S. Export Control
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
#SARC #ACL
Applies when submitting through the employer's application site.
By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
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