

Share
computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
These jobs might be a good fit

Share
What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
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.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).

Share
Assoc Dir Regulatory Affairs
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Share

Share
What you’ll be doing:
Develop NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL
Develop novel HW architecture models and SDKs for them
Simulations ranging from specific components to complete data center environments
Designing and implementing services, runtime systems, and applications over SDK
Evaluate and optimize application performance
Partner and collaborate with other forward-thinking team members and external researchers
Participate and speak at conferences and events
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
Student for BSc/MSc/PhD in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field
Knowledge in networking, operating systems, accelerator programming, systems and AI training and inference
Track record of research excellence
Good communications skills
Please include your internship availability in your application

Share
Sr Dir Accounting Israel
The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Share
What you'll be doing:
Synthesis and fabrication of advanced materials, including characterization using techniques such as SEM, TEM, and Raman spectroscopy.
Performing device simulations and electrical measurements (DC and RF).
What we need to see:
An M.Sc. Graduate in Physics, Material Engineering or Chemistry continuing to PhD studies.
A strong theoretical background combined with experience using at least one of the following tools: COMSOL, HFSS,Sentaurus/Silvaco/QuantumATKTCAD.
Experience in microelectronics clean room fabrication methods.
Ways to stand out from the crowd:
Possession of a double degree.
Hands-on experience with lab equipment, specifically microscopy and spectroscopy.
Experience in PCB design.

Share
computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
These jobs might be a good fit