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NVIDIA

Deep Learning Performance Architect

China, Shanghai

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hirly's read of this role

Seniority
Mid level
Country
CN
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to analyze deep learning performance on different hardware and software architecture and make a significant impact in a dynamic technology focused company

What you’ll be doing :

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

What we need to see:

BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)

3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus

Be familiar with GPU or accelerator-based deep learning platform and software stack

A strong background in computer architecture

Experience on system architecture design and performance optimization

Familiar with machine learning and deep learning frameworks

Original posting on NVIDIA's site ↗

Listed on hirly, a job board. hirly is not the employer: NVIDIA is hiring for this role.

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