Skip to content

Deep Learning Performance Architect

NVIDIA

Shanghai, CNonsitePosted May 31, 2026

About the role

NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive 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 optimize deep learning 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 algorithms on different architectures

Identify architecture and software performance bottlenecks and propose optimizations

Explore new features and hardware capabilities on deep learning applications

What we need to see:

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

5+ years of working experience in relevant directions 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

Questions about this role

  • How do I apply to this Deep Learning Performance Architect role at NVIDIA?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for Machine Learning Engineer in China?

    Compensation for Machine Learning Engineer roles in China varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for China medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does NVIDIA use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.