Phd Intern Applied Research Scientist Retriever - Fall jobs at Nvidia in Israel

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).

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

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.

What you will be doing:

• Creating prototypes to evaluate and motivate extensions in programming models (CUDA, NCCL, MPI, OpenSHMEM), new designs in runtimes, and new features in the network hardware.
• Research, design and implement features for HPC communication middleware and Deep Learning frameworks such as TensorFlow and PyTorch.
• Work with hardware architects to define the future hardware relevant for scientific applications, Deep learning, and data-intensive workloads.

What we need to see:

• Pursuing a PhD in computer science, computer engineering, or a closely related field.
• Background in parallel programming models, and/or network architecture.
• Background in algorithm design, system programming, and computer architecture
• Strong programming and software development 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:

• Deep understanding of technology and passionate about what you do
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment
• Previous experience in designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, NVLINK and Shared Memory;
• Experience in implementing communications libraries, particularly MPI, OpenSHMEM, or NCCL;
• Previous experience in programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators;

What you will do:

• Lead the research on new deep learning algorithms and techniques for efficient LLM inference
• Develop new architectures for advanced large language models
• Design and adapt foundation AI models to downstream tasks such as math and code reasoning.
• Contribute these new models to Nemo framework
• Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.
• Work closely with product and hardware architecture teams to integrate your research and developments into products.

What we need to see:

• MS or PhD in Computer Science/ Electrical Engineering
• 15+ Years of extensive machine learning / deep learning research or work experience.
• Knowledge of application areas such as natural language processing and speech processing.
• Excellent programming skills in some rapid prototyping environments such as Python.
• Expertise with deep learning frameworks such as PyTorch.
• A track record of research excellence demonstrated in publications at leading conferences and journals.

Ways to stand out from the crowd:

• Strong C++ programming skills.
• Systems software engineering knowledge and expertise in optimizing software for computational performance.
• Contribution to open source software projects.

What you will be doing:

• Work on new deep learning algorithms and techniques for efficient LLM inference

• Develop new architectures for advanced large language models

• Adapt foundation AI models to downstream tasks such as math and code reasoning.

• Contribute these new models to Nemo framework

• Work closely with product and hardware architecture teams to integrate your research and developments into products.

What we need to see:

• M.Sc. or PhD in Computer Science/ Electrical Engineering

• 8+ Years of extensive machine learning / deep learning research experience.

• Solid knowledge of application areas such as natural language processing and speech processing.

• Excellent programming skills in some rapid prototyping environments such as Python;

• Expertise with PyTorch.deep learning framework

• A track record of research excellence demonstrated in publications at leading conferences and journals.

Ways to stand out from the crowd:

• Strong C++ programming skills.

• Systems software engineering knowledge and expertise in optimizing software for computational performance.

• Contribution to open source software projects.