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Applied AI Engineer

NVIDIA· Engineer, Sys SW
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Shanghai, Chinafull-timePosted 5mo ago

About the role

Applied AI Engineer in NVIDIA’s Silicon Co-Design Group to innovate, develop, and integrate AI solutions into design and automation infrastructure powering chips; lead initiatives from concept to deployment and drive AI-powered improvements across post-silicon validation, automation, and workflow efficiency.

Responsibilities

  • 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.

Qualifications

  • 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.
  • Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
  • Ability to balance multiple simultaneous projects.
  • Excellent problem-solving, communication, and collaboration skills.

Skills

Required:PythonC/C++/Java/C# (static languages)PyTorch or TensorFlowAI/LLM systems deploymentSystem performance monitoring and debuggingHardware awareness
Nice to have:NeMo Agent Toolkit / LangChain / Semantic Kernel / AutoGen / CrewAI / n8n
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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