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AMD
Santa Clara, California
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
At AMD, we build products that accelerate next-generation computing—from AI and data centers to PCs, gaming, and embedded systems. Progress here comes from bold ideas, strong execution, and people who care about hard problems.
This role sits at the center of that mission: making AMD the platform of choice for the most demanding AI workloads by improving how models train, align, and run on our GPUs.
We're looking for a senior software engineer who combines deep systems performance work with modern AI—someone who can shape software from GPU kernels through distributed training and inference.
You'll join a core team of specialists working on the latest AMD hardware and software. Your work will directly influence the ROCm ecosystem and how foundation models and agentic systems perform on AMD GPUs.
The challenge: Help train and run AI systems that make AI itself more efficient on GPUs—tuning stacks, kernels, and workflows in ways that can materially shift what's possible on our hardware.
This is a high-impact, hands-on role. You'll own hard technical problems, influence direction across teams, and mentor others as we scale AMD's AI software strategy.
At AMD, we build products that accelerate next-generation computing—from AI and data centers to PCs, gaming, and embedded systems. Progress here comes from bold ideas, strong execution, and people who care about hard problems.
This role sits at the center of that mission: making AMD the platform of choice for the most demanding AI workloads by improving how models train, align, and run on our GPUs.
We're looking for a senior software engineer who combines deep systems performance work with modern AI—someone who can shape software from GPU kernels through distributed training and inference.
You'll join a core team of specialists working on the latest AMD hardware and software. Your work will directly influence the ROCm ecosystem and how foundation models and agentic systems perform on AMD GPUs.
The challenge: Help train and run AI systems that make AI itself more efficient on GPUs—tuning stacks, kernels, and workflows in ways that can materially shift what's possible on our hardware.
This is a high-impact, hands-on role. You'll own hard technical problems, influence direction across teams, and mentor others as we scale AMD's AI software strategy.
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