Samsung
Gpu Ml Architect
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! 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. You write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements. You work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs. You create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, Image Classification, etc. You integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture. You 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. 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 graphic 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 graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work. 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 $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. 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. 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.
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! 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. You write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements. You work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs. You create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, Image Classification, etc. You integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture. You 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. 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 graphic 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 graphic and machine learning, defining new features, modeling, to diving into microarchitecture design and programming work. 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 $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. 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. 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.