GPU Systems Software Engineer (MTS) — Remote

Socket.dev; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMD, Inc. in Santa Clara is hiring a Software Development Engineer (MTS) to research, design, develop, and test OS-level software, compilers, and related tools for semiconductor operations, GPUs, and AI workflows.

You will work across architectures, optimize performance, and collaborate with on-site and remote teams. The role requires a Master’s or equivalent in ECE/CS (or a Bachelor’s with 5 years) and hands-on experience with CUDA, Linux/Windows internals, and modern ML frameworks.

Qualifications

• Two (2) years of experience in the job offered or a closely related engineering role.
• Alternate combination: Bachelor’s degree or foreign equivalent in Electrical and Computer Engineering, Computer Science, Computer Engineering or related field and five (5) years of progressive post-baccalaureate experience in the job offered or a closely related engineering role.
• Master’s degree or foreign equivalent in Electrical and Computer Engineering, Computer Science, Computer Engineering or related field.

Responsibilities

• Research, design, develop, and test operating systems-level software, compilers, and/or network distribution software for semiconductor operations.
• Profile and analyze system and application performance to identify bottlenecks and areas for improvement.
• Collaborate with on-site and offshore teams to deliver software solutions on schedule.
• Partake in all phases of the software development; write unit tests and detailed documentation.

Skills

CUDA

Linux internals

Windows internals

TensorFlow

PyTorch

C/C++/Python

Git

GitHub

Education

Master's degree in Electrical and Computer Engineering / Computer Science

Bachelor's degree + 5 years experience

Tools

CUDA

Linux internals

Windows internals

TensorFlow

PyTorch

C/C++

Python

Git

GitHub

Job description

AMD, Inc. in Santa Clara is hiring a Software Development Engineer (MTS) to research, design, develop, and test OS-level software, compilers, and related tools for semiconductor operations, GPUs, and AI workflows.

You will work across architectures, optimize performance, and collaborate with on-site and remote teams. The role requires a Master’s or equivalent in ECE/CS (or a Bachelor’s with 5 years) and hands-on experience with CUDA, Linux/Windows internals, and modern ML frameworks.