Deep Learning Performance Intern - 2027

NVIDIA|12 Oct 2026

fulltimeonsite

Before you apply

Listed location: China, Shanghai

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

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, perf optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning processor 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.,)
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

#deeplearning

Skills mentioned

GPU

Frequently asked questions

Is the Deep Learning Performance Intern - 2027 position at NVIDIA remote?

The Deep Learning Performance Intern - 2027 role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.