Senior Deep Learning Researcher, Diffusion

NVIDIA is hiring a Senior Deep Learning Researcher, Diffusion in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include Llama, PyTorch and TensorFlow.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Invent and build advanced multi-modality and diffusion-based AI generation techniques as a senior deep learning researcher at NVIDIA.

llamapytorchtensorflowcuda

deep-learningdiffusion-modelsmachine-learninggenerative-aicomputer-vision

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities.

Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field.

What you'll be doing:

Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.
Combine traditional diffusion technologies with the latest and greatest LLMs.
Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions.
Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.
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:

PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience.
At least 3 years of relevant research experience
Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR
In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area
Extensive experience in image and video understanding, generation, and reasoning.

Ways to stand out from the crowd:

High proficiency in programming and coding
Degree from a top-tier institution or equivalent experience in a world-class industrial research group
Substantial contributions to the multi-modality or diffusion forefront of research.
Experience in research fields of LLMs.

Candidates should apply with a detailed CV, publication list, and brief research statement.

How we rate this

Senior Deep Learning Researcher, Diffusion at NVIDIA rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Deep Learning Researcher, Diffusion is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Israel, Tel Aviv.
The job was posted on August 26, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningDiffusion ModelsMachine learningGenerative AIComputer visionLlamaPyTorchTensorFlow

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where diffusion models was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

List these exact terms on your resume: Deep learning, Diffusion Models, Machine learning, Generative AI, and Computer vision. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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