Research Scientist Efficient Deep Learning - New College Grad jobs at Nvidia in Israel

What you will be doing:

• Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.

• Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

• Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

• Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

What we need to see:

• PhD or Master's degree with equivalent experience.

• 8+ years of experience

• Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.

• Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.

• Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

Ways to stand out from the crowd:

• Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.

• Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.

• Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.

• Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.

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'll be doing:

• Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.
• Translate research into practical software solutions that directly impact NVIDIA's products and customers.
• Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies.
• Analyze the performance of new algorithms on NVIDIA’s latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.
• Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

What we need to see:

• MSc/PhD in Computer Science, Electrical Engineering, or a closely related field.
• At least 3 years of proven experience in deep learning research or applied research.
• At least one publication in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML).
• Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models.
• Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering best practices.
• A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact.

Ways to stand out from the crowd:

• Hands-on research experience in LLM inference optimization algorithms such as speculative decoding or parallelization strategies.
• Proven experience with High-Performance Computing (HPC) environments, including training or running inference on large-scale GPU clusters (tens to hundreds of GPUs).
• Deep familiarity and experience with popular LLM inference systems (e.g., vLLM, TensorRT-LLM).
• Experience from a world-class industrial research group or a top-tier institution.

What You’ll Be Doing:

• Build high-quality training videos, incorporating filming, animation, editing, and post-production with Adobe Suite and Camtasia.

• Compose and develop interactive courseware using Articulate Storyline, Rise, and AI-powered authoring tools.

• Continuously explore and implement AI-driven tools to streamline training production and boost content impact

• Create visually engaging presentations that enhance clarity and learner engagement.

• Collaborate with SMEs to develop quizzes, assessments, and certification exams.

• Lead your own workflow, set priorities, and ensure timely delivery of learning materials.

What We Need to See:

• Bachelor’s degree in Instructional Design, Learning Technologies, or a related field; or in Animation, Graphic Design, Motion Graphics, Computer Science, or a related technical or creative discipline or or equivalent experience

• 8+ years of experience in instructional design or video-based learning content development

• Demonstrated expertise in video production, including recording, animation, and editing

• Strong visual design skills, with hands-on experience using Adobe Premiere, After Effects, Illustrator, and Photoshop

• Experience working with e-learning tools such as Camtasia, Articulate Storyline, and Captivate

• Ability to quickly learn and apply AI-powered authoring and automation tools in content creation

• Strong analytical and creative thinking skills, with the ability to make technical topics approachable through engaging visual storytelling

• Excellent communication, collaboration, and time management skills

Ways to Stand Out from the Crowd:

• A video-focused portfolio showcasing diverse training content such as animated explainers, technical demos, and AI-generated media

• Proven experience using AI-powered authoring and production tools (e.g., Synthesia, VEED, ElevenLabs, Pictory, D-ID) to create engaging learning experiences

• Familiarity with AI-based video workflows, including automated voiceovers, animation, or editing

• Advanced skills in motion graphics and video creation, especially using Adobe After Effects

• Experience developing content for technical subject areas, such as networking, AI, or cloud infrastructure