Principal Software Architect, Networking AI

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Software EngineeringExperience: 15+ yearsEducation: bachelorsSkills: ["Leadership","Collaboration"]

Lead the development of next-generation scale-up networking fabric for AI data centers. Drive collaborative communication and vertical co-development of AI networks across hardware, software, and applications, ensuring scalability, reliability, and robust large-model training. Partner with cross-functional teams and world-class talent to implement new technologies and shape innovative concepts that progress toward large-scale production.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Principal Software Architect, Networking AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead the development of next-generation scale-up networking fabric for AI data centers. Drive collaborative communication and vertical co-development of AI networks across hardware, software, and applications, ensuring scalability, reliability, and robust large-model training. Partner with cross-functional teams and world-class talent to implement new technologies and shape innovative concepts that progress toward large-scale production.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead development of next-gen scale-up fabric for AI data centers.
  • •Drive collaborative communication and vertical co-development of AI networks across hardware, software, and applications.
  • •Ensure scalability, reliability, and robust training for large model development.
  • •Collaborate with cross-functional teams to build and implement innovative solutions.
  • •Create innovative concepts that proceed to full-scale manufacturing.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •15+ years of experience in software architecture and networking.
  • •Bachelor’s degree in Engineering or equivalent experience.
  • •Strong expertise in AI applied research.
  • •Demonstrated ability to lead complex projects and deliver results.
  • •Excellent collaboration skills and ability to work with diverse teams.
Experience:15+ yearsAINetworkingAI data centersLarge model training
Education:Bachelor's
Skills:LeadershipCollaboration

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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