7 дней назад
Agentic AI Architect (FPGA/ASIC)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agentic AI Architect (FPGA/ASIC) (LLMs, RAG, agentic systems): Designing and developing scalable agentic AI systems integrated with FPGA and ASIC platforms with an accent on multi-agent orchestration, knowledge retrieval, and hardware-aware inference optimization. Focus on co-designing AI architectures across CPU/GPU/FPGA systems, optimizing LLM deployment through quantization and compilation, and building production-grade reasoning pipelines.
Location: Shanghai, China
Company
develops hardware-driven computing platforms and AI systems integrating software intelligence with FPGA and ASIC acceleration.
What you will do
- Design and implement agentic AI systems using LLMs, tools, and multi-agent orchestration.
- Architect enterprise-scale RAG pipelines covering data ingestion, reasoning, and action.
- Co-design AI systems for heterogeneous CPU, GPU, and FPGA computing environments.
- Optimize LLM inference on FPGA platforms through quantization, compilation, and workload partitioning.
- Build reusable platform components for memory management, tool integration, and knowledge retrieval using LangChain, LlamaIndex, and custom orchestration frameworks.
- Lead architecture reviews, guide engineering teams, and drive AI and hardware convergence.
Requirements
- Master’s or Bachelor’s degree with 10+ years of experience in AI/ML systems, distributed systems, or hardware–software co-design.
- Recognized expertise in AI and large language models, including LLM architectures, inference, RAG systems, vector databases, and agentic AI.
- Experience building production-grade LLM applications, multi-step reasoning workflows, and scalable AI systems.
- Strong background in FPGA, ASIC, EDA systems, heterogeneous computing, and AI workload acceleration.
- Proficiency in Python and experience with distributed systems, APIs, microservices, and cloud or edge AI deployment.
- Hands-on experience with LLM fine-tuning, quantization, model distillation, on-device AI, compiler stacks such as MLIR or TVM, and real-time AI pipelines.
Culture & Benefits
- Regular employment position on Shift 1 in China.
- Opportunity to influence next-generation AI and semiconductor integration.
- Cross-functional collaboration with AI and hardware engineering teams.
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