AI Framework Eng.(VLLM CI)
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
The Role
As a senior member of the LLM inference framework team, you will be responsible for building and optimizing production-grade single-node and distributed inference runtimes for large language models on AMD GPUs. You will work at the framework and runtime layer, driving performance, scalability, and reliability, enabling tensor parallelism, pipeline parallelism, expert parallelism (MoE), and single-node or multi-node inference at scale. Your work will directly power customer-facing deployments and benchmarking platforms (e.g., InferenceMax, MLPerf, strategic partners, and cloud providers) and will be upstreamed into open-source inference frameworks such as vLLM and SGLang to make AMD a first-class platform for LLM serving.
This role sits at the intersection of inference engines, distributed systems, and GPU runtime and kernel backends.
The Person
You are a systems-minded ML engineer who thinks in terms of throughput, latency, memory movement, and scheduling, not just model code.
You are comfortable reading and modifying large-scale inference frameworks, debug...
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