Samsung Electronics America
GPU ML Architect
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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 We are seeking a highly skilled GPU ML Architect to join our GPU Architecture hardware team. As a GPU ML Architect, you will be responsible for designing and developing innovative machine learning (ML) solutions for graphics processing units (GPUs). While knowledge of graphics or GPU architecture is not a requirement, a strong understanding of compute architectures and machine learning principles is essential. You will work closely with cross‑functional teams to analyze workloads, model performance, and create new features for large vision models and image classification applications.
Write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements.
Work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs.
Create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, and image classification.
Integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture.
Optimize GPU architectures for ML workloads, ensuring maximum performance and power efficiency.
Collaborate with engineers to analyze and model workloads, identifying performance bottlenecks and areas for optimization.
Skills And Qualifications
15+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering or related field, or 13+ years of experience with a Master’s degree, or 11+ years of experience with a PhD.
Strong understanding of machine learning principles and architectures.
Experience with compute architectures and performance optimization.
Experience with workload analysis and modeling.
Excellent programming skills in languages such as C++, Python, or similar.
Familiarity with LLMs, LVMs, and image classification.
GPU architecture and graphics pipeline experience is a big plus.
Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch) preferred.
Ability to write clear and concise technical specifications.
Strong analytical and problem‑solving skills.
Our Team We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market‑leading GPU product. Our Xclipse GPU is the first mobile GPU with ray‑tracing technology that enables console‑level graphics for Samsung Galaxy smartphones. Being part of a unique growing team at a well‑established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole‑system architecture‑level design for Samsung’s current and next‑generation mobile GPU. Depending on the functional discipline, they’re responsible for anywhere from early‑stage architectural exploration, research work focusing on graphics and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.
Total Rewards Base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $174,557 and $305,414. Your actual base pay will depend on variables that may include your education, skills, qualifications, experience, and work location. This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA). Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free 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.
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 agree 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.
Equal Employment Opportunity 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.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Design, Art/Creative, and Information Technology
Industries
Computers and Electronics Manufacturing
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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 We are seeking a highly skilled GPU ML Architect to join our GPU Architecture hardware team. As a GPU ML Architect, you will be responsible for designing and developing innovative machine learning (ML) solutions for graphics processing units (GPUs). While knowledge of graphics or GPU architecture is not a requirement, a strong understanding of compute architectures and machine learning principles is essential. You will work closely with cross‑functional teams to analyze workloads, model performance, and create new features for large vision models and image classification applications.
Write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements.
Work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs.
Create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, and image classification.
Integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture.
Optimize GPU architectures for ML workloads, ensuring maximum performance and power efficiency.
Collaborate with engineers to analyze and model workloads, identifying performance bottlenecks and areas for optimization.
Skills And Qualifications
15+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering or related field, or 13+ years of experience with a Master’s degree, or 11+ years of experience with a PhD.
Strong understanding of machine learning principles and architectures.
Experience with compute architectures and performance optimization.
Experience with workload analysis and modeling.
Excellent programming skills in languages such as C++, Python, or similar.
Familiarity with LLMs, LVMs, and image classification.
GPU architecture and graphics pipeline experience is a big plus.
Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch) preferred.
Ability to write clear and concise technical specifications.
Strong analytical and problem‑solving skills.
Our Team We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market‑leading GPU product. Our Xclipse GPU is the first mobile GPU with ray‑tracing technology that enables console‑level graphics for Samsung Galaxy smartphones. Being part of a unique growing team at a well‑established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole‑system architecture‑level design for Samsung’s current and next‑generation mobile GPU. Depending on the functional discipline, they’re responsible for anywhere from early‑stage architectural exploration, research work focusing on graphics and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work.
Total Rewards Base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $174,557 and $305,414. Your actual base pay will depend on variables that may include your education, skills, qualifications, experience, and work location. This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA). Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free 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.
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 agree 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.
Equal Employment Opportunity 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.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Design, Art/Creative, and Information Technology
Industries
Computers and Electronics Manufacturing
#J-18808-Ljbffr