NVIDIAAdvanced Development Engineering Student, GPU Networking
NVIDIA is hiring an Advanced Development Engineering Student, GPU Networking in Tel Aviv, Israel. Level rates it ; you can apply on Level.
AI in this role
Student software engineer to drive advanced development and POCs for GPU networking and AI infrastructure solutions.
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking!
What you’ll be doing:
- Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.
- Demonstrate team architectural concepts with larger NVIDIA AI software stacks.
- Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.
What we need to see:
- A current student pursuing a B.Sc./M.Sc./PhD in Computer Science, Electrical Engineering, or Computer Engineering
- Proficient in C/C++ over Linux OS Development
- Skilled with gen-AI coding tools
- A teammate with a can-do attitude, high energy and excellent interpersonal skills.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
- Stellar communication skills
- Please share your availability as part of your application.
Ways to stand out from the crowd:
- Experienced in virtualization, networking
- Experience in development of Linux drives and networking stack
- Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents)
- Experience in Kubernetes
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
How we rate this
Advanced Development Engineering Student, GPU Networking at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where gpu networking was part of your work. What did you do?
- Tell me about a project where distributed ai was part of your work. What did you do?
- Tell me about a project where virtualization was part of your work. What did you do?
- Tell me about a project where networking stack was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: GPU Networking, Distributed AI, Virtualization, Networking Stack, and AI Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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