AI Software Stack Engineer – GPU/ROCm & LLM Acceleration

Advanced Micro Devices, Inc.; Santa Clara (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Advanced Micro Devices, Inc. (AMD) is hiring a MTS Software Development Engineer to architect and drive the AI software stack, optimizing performance from low-level GPU kernels to large-scale distributed systems.

You will leverage cutting-edge LLMs and agent-based technologies to accelerate AMD ROCm and ensure it remains at the forefront of AI innovation. You will directly contribute to the co-design lifecycle, influencing future GPU architectures and developing software for new accelerators,

Formación

• Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
• Three (3) years of experience in the job offered or closely related engineering role.
• Employer will alternatively accept a Bachelor’s degree or foreign equivalent ... and five (5) years of progressive post-baccalaureate experience in the job offered or closely related engineering role.

Responsabilidades

• Architect and drive the AI Software Stack by establishing best practices and optimizing performance from GPU kernels to large-scale distributed systems.
• Leverage cutting-edge LLMs and agent-based technologies to accelerate development and performance of the AMD ROCm ecosystem.
• Contribute to the co-design lifecycle from future GPU architectures to software for new accelerators and collaboration with the AI community.

Conocimientos

Software development

Deep learning models

Inference optimization

C++ / OO design

GPU programming (HIP/CUDA)

GPU architecture & profiling

Educación

Master’s degree in CS/CE/EE/Software Engineering

Bachelor’s degree + 5 years experience

Descripción del empleo

Advanced Micro Devices, Inc. (AMD) is hiring a MTS Software Development Engineer to architect and drive the AI software stack, optimizing performance from low-level GPU kernels to large-scale distributed systems.

You will leverage cutting-edge LLMs and agent-based technologies to accelerate AMD ROCm and ensure it remains at the forefront of AI innovation. You will directly contribute to the co-design lifecycle, influencing future GPU architectures and developing software for new accelerators,