Live opening · Posted 3 days ago

Accelerated Compute Systems Performance Architect Intern - 2027

Nvidia · China, Shanghai
Workday
You are 3 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 3 days ago
CompanyNvidia
LocationChina, Shanghai
SourceWorkday
Listed3 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
0 min from Workday publishing this role to us finding it
195 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
16,411 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

We are now looking for an Accelerated Computing Architect intern. NVIDIA is developing software and hardware system architectures for accelerated high performance computing, scientific computing, machine learning, artificial intelligence, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.
What you'll be doing:
Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
Diving into accelerated computing applications to facilitate software-hardware co-design.
Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.
What we need to see:
Pursuing B.Sc., M.Sc., or Ph.D. in relevant discipline (CS, EE, CE).
A passion for performance analysis and optimization.
Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
Solid background in GPU and computer systems architecture.
Strong knowledge of C and C++ with a solid understanding of software design, programming techniques, and algorithms. Familiarity with Python is a plus.
Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App