AMD

3 months ago

Senior GPU Kernel Optimization Engineer

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Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Join AMD as an LLM Training & Agent Engineer to train, fine-tune, and optimize large language models; design and build LLM-based agent systems with tool use, planning, and multi-agent collaboration; optimize inference performance, GPU kernel optimization, and contribute to deployment of LLM-based products in real-world applications through collaboration with research and product teams.

Location: Beijing

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Train, fine-tune, and optimize Large Language Models (LLMs), including but not limited to pretraining, SFT, and RLHF pipelines
•Design and develop LLM-based agent systems (e.g., tool use, planning and reasoning, multi-agent collaboration)
•Optimize LLM inference performance, including latency, throughput, and memory (VRAM) usage
•Participate in GPU computing optimization, including operator/kernel optimization and parallelization strategies
•Collaborate with research and product teams to drive the deployment of LLMs in real-world applications

Pay and Benefits

Salary: CNY 411,670 - 588,100 annually

Key Requirements

•Bachelor’s degree or above in Computer Science, Artificial Intelligence, or a related field
•4+ years of relevant development experience
•Proficient in at least one of Python or C++, with strong engineering skills
•Familiar with LLM training workflows, with hands-on experience in training or fine-tuning; experience deploying LLM-based products is a plus
•Experience in agent development (e.g., LangChain, in-house agents, tool use systems)

Experience:4+ yearsArtificial intelligenceMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonC++LangChainLLMRLHFCUDATritonMegatronDeepSpeedKV cacheGPU computing

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD