Senior GPU System Architect

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Python","SystemC","NVLink","Ethernet","InfiniBand","CXL","PCIe","RDMA","RoCE","GPU","ASIC","SoC","Hardware-software co-design","System modeling"]

Architect multi-GPU systems for next-generation datacenter platforms focused on AI and HPC. Define high-speed interconnects, hardware-software co-design, and scalable, resilient GPU-based architectures, collaborating with silicon, packaging, board, and software teams to enable distributed computing at scale.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Senior GPU System Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Architect multi-GPU systems for next-generation datacenter platforms focused on AI and HPC. Define high-speed interconnects, hardware-software co-design, and scalable, resilient GPU-based architectures, collaborating with silicon, packaging, board, and software teams to enable distributed computing at scale.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Architect multi-GPU system topologies for scale-up and scale-out configurations, balancing AI throughput, scalability, and resilience.
  • •Define, modify and evaluate future architectures for high-speed interconnects co-designed with the GPU memory system.
  • •Collaborate with other teams to architect RDMA-capable hardware and optimize transport layers for large-scale AI workloads.
  • •Use system models, run simulations and bottleneck analyses to guide design trade-offs.
  • •Work with GPU ASIC, compiler, library and software stack teams to enable efficient hardware-software co-design across compute, memory, and communication layers.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Key Requirements

  • •BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent experience.
  • •8+ years of system design and/or ASIC/SoC architecture for GPU, CPU or networking products.
  • •Deep understanding of NVLink, Ethernet, InfiniBand, CXL and PCIe interconnects.
  • •Experience with RDMA/RoCE or InfiniBand transport offload architectures.
  • •Proven ability to architect multi-GPU/multi-CPU topologies with awareness of bandwidth, NUMA, memory models, coherency and resilience.
Experience:8+ yearsAIHPCGPUDistributed computing
Education:Bachelor's
Skills:PythonSystemCNVLinkEthernetInfiniBandCXLPCIeRDMARoCEGPUASICSoCHardware-software co-designSystem modeling
Tech Stack:PythonSystemCNVLinkEthernetInfiniBandCXLPCIeRDMARoCEGPUASICSoCInterconnectHDM

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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