Senior AI & GPU Solutions Lead

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 184,000 - 345,000

Full time

3 days ago
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Job summary

NVIDIA is seeking a team leader to operationalize its latest AI and GPU solutions in customer environments from Santa Clara. You will recruit and guide a diverse team of solution architects, system engineers, and software engineers to deploy large-scale GPU and AI networking solutions.

You will stay hands-on in critical reviews and debugging, while mentoring staff and shaping deployment strategies. You will collaborate with Product Management, Sales, and Engineering to translate customer

Qualifications

  • 8+ years in Systems/Solutions/Field Engineering, Data Center, or similar.
  • 2+ years leading or mentoring engineers/architects.
  • Strong Linux, kernel, and data center networking experience.
  • Proven ability to lead technical teams and manage complex deployments.

Responsibilities

  • Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU deployments.
  • Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple projects.
  • Provide SME in GPU and network systems and serve as senior technical contact for strategic customers.
  • Lead compute/network configuration and performance debugging with your team.
  • Guide network/compute/software architecture discussions and support on-site deployments when needed.
  • Synthesize customer requirements across portfolio and influence product roadmaps with cross-functional teams.

Skills

Team leadership
Systems engineering
Linux kernel
C/C++
Data center networking

Education

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related field

Tools

CUDA
NVIDIA GPU systems
Linux kernel drivers

Job description

NVIDIA is seeking a team leader to operationalize its latest AI and GPU solutions in customer environments from Santa Clara. You will recruit and guide a diverse team of solution architects, system engineers, and software engineers to deploy large-scale GPU and AI networking solutions.

You will stay hands-on in critical reviews and debugging, while mentoring staff and shaping deployment strategies. You will collaborate with Product Management, Sales, and Engineering to translate customer

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