Open Source ML Systems Engineer for AMD Hardware

AMD; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

AMD benefits

Job summary

AMD is seeking an Open Source Software Engineer to build and optimize ML systems that integrate with AMD hardware. You will work at the intersection of open source AI software, GPU systems, and high-performance computing, helping bring cutting‑edge AI workloads to AMD platforms.

You will design, implement, test, and ship open source integrations with widely used AI systems and frameworks. You will be a systems-oriented engineer comfortable shifting between high-level ML frameworks and low-level

Qualifications

• You are a systems-oriented software engineer with knowledge of ML workloads mapped to GPUs.
• Experience with open source development practices, including code review and CI.
• Strong understanding of kernel programming and GPU execution pipelines.
• Familiarity with quantized data layouts and model quantization techniques.

Responsibilities

• Develop and maintain open source integrations between ML/AI software and AMD hardware.
• Optimize kernels and critical execution paths for AMD GPUs.
• Profile workloads, identify performance bottlenecks, and implement improvements.
• Develop and optimize kernel fusions and GPU execution pipelines.
• Adapt implementations across different kernel programming languages and GPU environments.
• Collaborate with open source maintainers and contribute upstream.

Skills

LLM systems

Inference workloads

GPU kernel optimization

Open source development

CUDA & ROCm

Kernel fusion

GPU architectures

Education

Bachelor's/Master's in CS/EE

Tools

CUDA

ROCm

Vulkan

SPIR-V

llama.cpp

vLLM

Job description

AMD is seeking an Open Source Software Engineer to build and optimize ML systems that integrate with AMD hardware. You will work at the intersection of open source AI software, GPU systems, and high-performance computing, helping bring cutting‑edge AI workloads to AMD platforms.

You will design, implement, test, and ship open source integrations with widely used AI systems and frameworks. You will be a systems-oriented engineer comfortable shifting between high-level ML frameworks and low-level