NVIDIASenior Applied Researcher, AI Agentic Systems
NVIDIA is hiring a Senior Applied Researcher, AI Agentic Systems for a remote role open to applicants in Israel. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and RAG Frameworks.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Build end-to-end multi-agent AI systems and RAG pipelines to enhance hardware and software engineering workflows at NVIDIA.
We are in search of a top-tier AI Agents applied researcher to work closely with hardware architects and software developers to develop end-to-end agentic systems that drive significant enhancements in NVIDIA's products. Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale.
What You'll Be Doing:
Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products.
Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
What We Need To See:
BSc/MSc in CS/CE or related field (or equivalent experience)
10+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.
Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation.
Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority.
Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.
Ways To Stand Out From The Crowd:
Strong software development experience
Experience with data processing and storage (e.g. SQL databases, NoSQL databases).
Networking background, with knowledge of network architectures and networking concepts
At the intersection of cutting-edge innovation and global impact, we have cultivated an environment where the world's most brilliant minds thrive. We offer industry-leading compensation and a culture built on excellence. If you are a high-impact applied researcher who lives for complex problem-solving and technical mastery, you belong here.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation
How we rate this
Senior Applied Researcher, AI Agentic Systems at NVIDIA rates 90 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where applied research 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?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, Applied Research, Machine learning, and Generative AI. 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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