NVIDIA

1 day ago

Deep Learning Performance Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour 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: Shanghai

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 day ago

Deep Learning Performance Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Shanghai

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

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: 4.3

Website LinkedIn Glassdoor