Nvidia

Solution Architect - Agentic AI - CSP

Nvidia
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7 days ago
Shenzhen, China or Beijing, ChinaMid Level
H1B Sponsor

Responsibilities

  • Design, deploy, and optimize large-scale LLM and Agentic AI inference systems on NVIDIA accelerated computing platforms.
  • Analyze end-to-end inference workloads to improve latency, throughput, scalability, resource utilization, and cost efficiency.
  • Develop solutions involving KV cache management, intelligent routing and scheduling, distributed or disaggregated serving, heterogeneous inference, and large-scale model parallelism.
  • Build proof-of-concepts, performance studies, and reference solutions for emerging AI architectures.
  • Collaborate with NVIDIA Engineering, Product, Sales, and Business Development teams to address customer needs, provide product feedback, and shape technical strategies.

Requirements

  • MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, Mathematics, Physics, or a related field, or equivalent practical experience.
  • At least 3 years of relevant experience in large language models, AI inference, distributed AI systems, or related areas.
  • Hands-on experience with system design, performance optimization, or large-scale AI workloads.
  • Strong understanding of modern AI systems and performance analysis across models, software frameworks, compute, memory, communication, and infrastructure.
  • Strong programming, problem-solving, technical communication, and stakeholder collaboration skills.
  • Experience with Agentic AI, advanced LLM inference optimization, GPU-accelerated workloads, distributed computing platforms, NVIDIA AI software, cloud service providers, or production AI infrastructure is preferred.
  • Familiarity with NVIDIA Dynamo, TensorRT-LLM, disaggregated serving, heterogeneous inference, expert parallelism, or other large-scale serving techniques is preferred.

Benefits

  • The role involves working with advanced computing hardware and software and collaborating with leading cloud service providers, AI platform teams, researchers, engineers, and senior technical leaders.
  • NVIDIA offers a diverse and equal-opportunity work environment.

Categories

Solutions Engineering
Nvidia

About Nvidia

10,000+ employees

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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