
普通员工/个人贡献者
AI 估算 · 30k–50k
前沿AI+芯片领域,技能稀缺,公司竞争力强,上海高级工程师薪资水平。
英伟达芯片协同设计组正在招聘应用AI工程师,你将负责基于AI和LLM构建芯片验证与自动化的智能系统,与跨团队协作推动AI集成,使用前沿技术(如LangChain、NeMo Agent Toolkit)优化芯片设计流程,是AI+半导体领域的前沿岗位
BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services. 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end — from prototype through production deployment. Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala. Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n. Proven track record with deploying, monitoring, and debugging scalable AI/ML models. Ability to balance multiple simultaneous projects. Excellent problem-solving, communication, and collaboration skills.
Designing and implementing AI/LLM-powered systems to improve post-silicon validation, automation, and workflow efficiency within semiconductor validation environments. Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization. Evaluating emerging frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization. Establish and maintain data-driven indicators to quantify AI impact, identify performance gaps, and drive continuous improvement across systems.
Familiarity with modern AI technologies and methodologies for crafting and launching LLMs. Experience with building and deploying orchestration agents managing hundreds to thousands of tools. Ability to translate innovative AI research into practical, high-impact production tools. Experience working within a silicon development environment, with exposure to chip and system characterization methodologies.
优点
缺点 / 挑战
大厂AI芯片核心岗位,技术前沿薪资优,但工作地点固定,WLB未知。
英伟达作为全球顶尖科技公司,薪资竞争力强,福利全面,但JD未明确具体数字。
岗位涉及前沿AI和芯片技术,技能成长空间大,但JD未提及晋升通道。
未明确远程或弹性工作制,仅现场办公,WLB信息不足。
AI+芯片行业高速增长,创新程度高,社会影响力中性。