Job Summary:
Samsung, a world leader in advanced semiconductor technology, is seeking a Senior Engineer, Machine Learning Application Developer to join their Austin Research and Development Center. In this role, you will develop neural rendering applications and machine learning software for efficient execution of AI workloads on mobile GPUs, collaborating closely with hardware and software teams to optimize performance and resource utilization.
Responsibilities:
• You help 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.
• You analyze software performance and hardware resource utilization to identify bottlenecks and optimize application performance, efficiency, and scalability across a variety of ML workloads.
• You proactively seek collaborations with GPU architects, software engineers, and hardware teams to understand underlying hardware constraints and translate performance insights into optimized software solutions.
• You leverage low-level performance analysis techniques, including assembly-level investigation when needed, to help improve execution efficiency and maximize GPU utilization.
• You take initiatives on moderate-to-complex projects and help advance best practices and methodologies by staying current with the latest advancements in machine learning, neural rendering, and GPU technologies.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• Working knowledge of assembly-level analysis, debugging, or optimization.
Company:
Samsung India sells mobile devices, TVs, appliances, computers, and accessories, and provides product support and business solutions. Founded in , the company is headquartered in Gurgaon, IND, with a team of 10001+ employees. The company is currently Late Stage.