Senior Engineer, Machine Learning Application Developer

Machine Learning Application DeveloperSamsung, 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!As a Machine Learning Application Developer, you will develop neural rendering applications and machine learning (ML) software that enable efficient execution of AI workloads on Samsung's premium mobile GPUs.In this individual contributor role, you will contribute to the development of software solutions that bridge machine learning workloads and GPU hardware capabilities.

Working closely with hardware, software, and architecture teams, you will help optimize performance, efficiency, and resource utilization to support next-generation intelligent computing experiences.Responsibilities include:Developing and optimizing neural rendering applications, API-level software, and ML operator implementations, including GEMM, convolution, activations, and related workloads, using Vulkan, OpenGL, and OpenCL to enable efficient execution of ML and graphics workloads on Samsung GPU platforms.Analyzing software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.Collaborating with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.Leveraging low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.Taking initiatives on moderate-to-complex projects and helping advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.Skills and qualifications include:3+ years of experience with a Bachelor's Degree in Computer Science, Computer Engineering, or comparable field, or 2+ years of experience with a Master's Degree, or Ph.D.Strong programming skills in C, C++, and Python.Proficiency with API-level programming using in Vulkan, OpenGL, OpenCL, and machine learning frameworks such as PyTorch and TensorFlow.Understanding of GPU hardware architecture and experience with low-level performance profiling, analysis, and optimization.Hands-on experience developing neural rendering applications at the API level.Working knowledge of machine learning operators and workloads, including GEMM, convolution, activations, and related computational kernels.Ability to analyze hardware resource constraints and bottlenecks and develop software optimizations that improve performance and efficiency.Working knowledge of assembly-level analysis, debugging, or optimization is preferred.Strong analytical and problem-solving skills, with the ability to identify bottlenecks and propose data-driven solutions.Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.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 include base pay, benefits, and potential eligibility for bonuses and incentives.