NVIDIAAccelerated Computing Research Intern
NVIDIA is hiring an Accelerated Computing Research Intern for a remote role open to applicants in Sweden. Level rates it ; you can apply on Level.
AI in this role
Conduct innovative research at the intersection of networking, security, communications, and AI for data centers.
NVIDIA is searching for a MSc/PhD candidate to join our growing software architecture team. The ideal candidate will be conducting innovative research at the intersection of Networking, Security, and Communications, and working alongside top authorities in these fields. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated
Computing research.
DPU Data-Processing Units are the smallest form of a data center, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard GPUs and acceleration engines. Join us to research next-generation accelerated data-center architectures in a unique internship with NVIDIA partnership.
What you’ll be doing:
- Be at the forefront of modern data center research
- Partner and collaborate with forward-thinking industry leaders and external researchers
- Participate and speak at conferences and events
- Publish original research
- Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
- Pursuing a PhD or a MSc Degree in Electrical Engineering, Computer Science or Computer Engineering
- General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture.
- Strong programming (C/C++/Python) and software development skills
- Low-level Linux
- Good communications skills
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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Networking Research Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
How we rate this
Accelerated Computing Research Intern at NVIDIA rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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 networking was part of your work. What did you do?
- Tell me about a project where security was part of your work. What did you do?
- Tell me about a project where accelerated computing was part of your work. What did you do?
- Tell me about a project where computer architecture was part of your work. What did you do?
- Tell me about a project where research was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Networking, Security, Accelerated Computing, Computer Architecture, and Research. 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.
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