Deep Learning Performance Architect

NVIDIA
China
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Performance optimization","System architecture design"]

Analyze and optimize deep learning workload performance across different hardware and software architectures. Identify architecture and software bottlenecks, then explore new system configurations and features to improve performance and energy efficiency. Work within the deep learning modelling, performance projections, analysis, and optimization effort, leveraging expertise in computer architecture, GPU/accelerator platforms, and deep learning/ML frameworks.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Deep Learning Performance Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Analyze and optimize deep learning workload performance across different hardware and software architectures. Identify architecture and software bottlenecks, then explore new system configurations and features to improve performance and energy efficiency. Work within the deep learning modelling, performance projections, analysis, and optimization effort, leveraging expertise in computer architecture, GPU/accelerator platforms, and deep learning/ML frameworks.
Location: China
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze performance of various deep learning workloads on different architectures.
  • •Identify architecture and software performance bottlenecks.
  • •Explore new features and system configurations to achieve better performance and energy efficiency.

Key Requirements

  • •BSc, MS, or PhD in a relevant discipline such as CS, EE, or Math.
  • •3+ years of experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) is a plus.
  • •Familiarity with GPU or accelerator-based deep learning platform and software stack.
  • •Strong background in computer architecture.
  • •Experience with system architecture design and performance optimization, plus familiarity with machine learning and deep learning frameworks.
Experience:3+ years
Skills:Performance optimizationSystem architecture design
Tech Stack:GPUAccelerator-based platformsDeep learningMachine learningLLM workloads

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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