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Solutions Architect - CPU and LPU

NVIDIA· Architect, Solutions
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Shenzhen, Chinafull-timePosted 6mo ago

About the role

Software-focused Solutions Architect to drive adoption of next-generation AI infrastructure across NVIDIA CPU platforms and LPU-based inference systems, focusing on CPU (Grace, Vera, future CPUs) and LPU platforms, to optimize AI workloads across full stack.

Responsibilities

  • Evangelize NVIDIA CPU platforms, LPU-based systems, and LPX-class platforms with a focus on AI software stacks and workload efficiency
  • Help customers design and optimize AI workloads across CPU, GPU, and LPU to improve latency, throughput, utilization, and total cost of ownership
  • Analyze and tune LLM and generative AI pipelines across serving, runtime, memory, I/O, batching, scheduling, and orchestration layers
  • Build proof-of-concepts, reference architectures, and technical guidance in partnership with Engineering, Product, and Sales teams
  • Establish trusted technical relationships with customer architects, infrastructure teams, and senior leaders, becoming a strategic advisor for heterogeneous AI system design

Qualifications

  • MS or PhD in Computer Science, Engineering, Mathematics, Physics, or related field, or equivalent experience, plus 5+ years in AI systems, infrastructure, performance engineering, or solution architecture
  • Strong understanding of modern CPU architecture, Linux systems, and software performance tuning, with hands-on AI inference experience for LLM/generative/agentic workloads
  • Experience optimizing heterogeneous systems involving CPU and accelerators, with familiarity in PyTorch, Triton, TensorRT-LLM, vLLM, or ONNX Runtime
  • Strong programming, problem-solving, and communication skills, with ability to work with technical teams and senior customer stakeholders

Skills

Required:CPU architectureAI inference for LLM/generative AIHeterogeneous systems optimization (CPU + accelerators)FrameworksCommunication and stakeholder management

Benefits

  • Diversity and equal opportunity commitment (NVIDIA is an equal opportunity employer)
Last updated Sep 4, 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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