Senior Software Architect - Data Center Systems

NVIDIA
Santa Clara, Austin
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: mastersSkills: ["Communication","Leadership","Mentoring","Collaboration"]

Lead the architecture and development of NVIDIA's deep learning server platforms, coordinating across software, libraries, firmware, and customer teams to deliver scalable, high-performance data center systems. Drive multi-functional design decisions, mentor engineers, and align customer roadmaps with NVIDIA’s platform strategy, focusing on HW/SW integration and future technology roadmaps.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Software Architect - Data Center Systems

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Last checked: 4 hours agoStatus: Live

Job Summary

Lead the architecture and development of NVIDIA's deep learning server platforms, coordinating across software, libraries, firmware, and customer teams to deliver scalable, high-performance data center systems. Drive multi-functional design decisions, mentor engineers, and align customer roadmaps with NVIDIA’s platform strategy, focusing on HW/SW integration and future technology roadmaps.
Location: Santa Clara, Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead software activities for NVIDIA's deep learning server platforms from design through production, collaborating with teams across the company.
  • •Drive the system architecture for a complex server platform in a multi-functional environment.
  • •Partner across application software, libraries, system software and firmware teams to design complete software solutions for new server platforms.
  • •Work directly with major customers to understand their requirements and align their roadmap with NVIDIA’s roadmap.
  • •Mentor architects and engineering teams to grow them into future leaders.

Pay and Benefits

Perks:Equity

Key Requirements

  • •Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface.
  • •Understanding of HPC or Deep learning workloads and use of accelerated computing platforms.
  • •Expertise in Out of Band and In-band management architectures.
  • •Knowledge of server system architecture and implications of architecture decisions on overall performance of end applications.
  • •Demonstrable experience in implementing left shift strategy to de-risk program execution.
Experience:10+ yearsHPCDeep LearningAccelerated computingServer systems
Education:Master's
Skills:CommunicationLeadershipMentoringCollaboration
Tech Stack:Deep LearningRedfishIPMIMCTPPLDMRDEHW/SW interface

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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