Senior Data Infrastructure Engineer, AI Performance

NVIDIA
Shanghai, Beijing
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3+ yearsEducation: bachelorsSkills: ["System design","Collaboration","Problem-solving","Technical ownership"]

Build and scale the infrastructure behind NVIDIA’s AI architecture simulation ecosystem. You’ll develop distributed execution, unified storage/data platforms, automation, and self-service analytics/visualization so architects can run large studies across on-prem and cloud and compare performance, power, and design trade-offs. Partner with GPU architects, performance engineers, AI researchers, and software teams to translate emerging workloads into reusable simulation capabilities and help define the technical roadmap.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Data Infrastructure Engineer, AI Performance

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Job Summary

Build and scale the infrastructure behind NVIDIA’s AI architecture simulation ecosystem. You’ll develop distributed execution, unified storage/data platforms, automation, and self-service analytics/visualization so architects can run large studies across on-prem and cloud and compare performance, power, and design trade-offs. Partner with GPU architects, performance engineers, AI researchers, and software teams to translate emerging workloads into reusable simulation capabilities and help define the technical roadmap.
Location: Shanghai, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Build scalable, reliable infrastructure for running large simulation studies across on-premises compute clusters and cloud environments.
  • •Establish a unified storage and data platform as the source of truth for simulation configurations, execution state, results, and provenance.
  • •Develop self-service analytics and visualization capabilities for exploring results and comparing performance, power, and design trade-offs.
  • •Partner with GPU architects, performance engineers, AI researchers, and software teams to translate emerging AI workloads into reusable simulation platform capabilities.
  • •Help define the technical roadmap and engineering practices for NVIDIA’s next generation AI architecture simulation platforms.

Key Requirements

  • •BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.).
  • •3+ years of experience building production infrastructure, distributed systems, or data platforms.
  • •Strong software engineering and system-design skills with one or more programming languages, including scalability, reliability, data consistency, and operational trade-offs.
  • •Ability to work through ambiguous problems, simplify fragmented systems, and collaborate across engineering and research teams.
Experience:3+ years
Education:Bachelor's in CS, EE, CE, Math (etc.)
Skills:System designCollaborationProblem-solvingTechnical ownership

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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