NVIDIA

3 months ago

Senior Applied Researcher, AI Agentic Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead and mature end-to-end agentic AI systems for NVIDIA products, collaborating with hardware architects and software developers to advance generative AI. Design multi-agent coordination, long-horizon reasoning, and planning frameworks; build enterprise agents and high-performance RAG pipelines; craft AI flows with cross‑functional teams; establish evaluation backbones and telemetry for safe, incremental improvements across HW and SW.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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 SMEs 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.

Key Requirements

•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

Experience:10+ yearsAIMLLLMAgentic systems

Education:Bachelor's

Skills:CommunicationProblem-solvingAnalyticalCollaborationTeamwork

Tech Stack:PythonLLMsRAGMulti-agentRetrieval pipelinesSQLNoSQL

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior Applied Researcher, AI Agentic Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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 SMEs 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.

Key Requirements

•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

Experience:10+ yearsAIMLLLMAgentic systems

Education:Bachelor's

Skills:CommunicationProblem-solvingAnalyticalCollaborationTeamwork

Tech Stack:PythonLLMsRAGMulti-agentRetrieval pipelinesSQLNoSQL

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor