Research Scientist Programming Systems - New College Grad jobs at Nvidia in Israel

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What will you be doing:

• You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.

• Develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!

• Deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

What we need to see:

• Bachelor of Science or equivalent experience

• 8+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.

• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.

• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.

• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.

• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Ways to stand out from the crowd:

• Experience with data center infrastructure and cloud architectures

• Background in network performance monitoring or observability

• Previous experience working at a technological start-up

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:

• As our lead AI engineer, you'll work side-by-side with senior staff to develop systems for a broad range of applications, from data collection and analysis to MCP servers and agentic workflows over our powerful in-house orchestration APIs. You'll use NVIDIA's abundant cloud compute to research and deploy any resources those systems need, take part in critical decisions about which technologies to employ, and assume senior duties in mentoring, code review, and instruction initiatives for the entire team.

• Innovation and a startup mentality tempered by quality and maintainability standards are in the team's DNA. Valuable ideas from anyone - junior or senior, newcomer or veteran - are rewarded with the time and creative freedom to bring the vision to life. Come build with us!

What we need to see:

• BS/MS in CS/EE (or equivalent) with strong CS fundamentals

• 5+ years production Python; solid software engineering (APIs, testing, CI/CD)

• Proven agentic LLM workflow experience (tool/function calling, orchestration, guardrails)

• Classical ML fundamentals(supervised/unsupervised,feature engineering, evaluation)

• RAG/IR familiarity (embeddings, vector stores, evaluation)

• Data & infra: SQL/NoSQL and ETL over logs/metrics

• Ownership and collaborative delivery across teams

Ways to stand out from the crowd:

• Knowledge of VLSI/EDA software methodologies and computing environments

• Strong foundation in data structures and algorithms

• In-depth understanding of how LLMs work

• Experience with distributed systems, CI/CD, K8s, and/or Git

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.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What will you be doing:

• You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.
• develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!
• deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

What we need to see:

• Bachelor of Science or equivalent experience
• 12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.
• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.
• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.
• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.
• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Ways to stand out from the crowd:

• Experience with data center infrastructure and cloud architectures
• Background in network performance monitoring or observability
• Previous experience working at a technological start-up