Senior ML GPU Engineer (Neural Rendering, Vulkan)

Bzpp; United States; Presencial; USD 124.000 - 208.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Descripción de la vacante

Samsung, a world leader in advanced semiconductor technology, is building a center of excellence for IP applied to high‑performance computing devices. The Senior Engineer, Machine Learning Application Developer, will develop neural rendering software and ML workloads for Samsung GPUs, collaborating with hardware, software, and architecture teams.

You will optimize performance through API‑level programming (Vulkan, OpenGL, OpenCL) and ML frameworks (PyTorch, TensorFlow), analyze bottlenecks, and

Formación

• 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 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.

Responsabilidades

• Develop neural rendering applications and ML software for efficient AI workloads on Samsung GPUs.
• Bridge ML workloads with GPU hardware capabilities; collaborate with hardware, software, and architecture teams.
• Optimize performance, efficiency, and resource utilization for next-generation intelligent computing experiences.
• Develop API-level software and ML operator implementations, including GEMM, conv, activations.
• Analyze performance and bottlenecks to improve throughput and scalability.

Conocimientos

C/C++

Python

Vulkan API

OpenGL API

OpenCL API

PyTorch

TensorFlow

GPU architecture

Performance profiling

Neural rendering

GEMM

Convolution

Educación

Bachelor's degree in CS/CE or equivalent

Master’s degree

Ph.D.

Descripción del empleo

Samsung, a world leader in advanced semiconductor technology, is building a center of excellence for IP applied to high‑performance computing devices. The Senior Engineer, Machine Learning Application Developer, will develop neural rendering software and ML workloads for Samsung GPUs, collaborating with hardware, software, and architecture teams.

You will optimize performance through API‑level programming (Vulkan, OpenGL, OpenCL) and ML frameworks (PyTorch, TensorFlow), analyze bottlenecks, and