Senior Research Manager, World Model Evaluation

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Problem-solving","Leadership","Mentorship","Strategic thinking"]

Lead a research team focused on world-model evaluation, benchmarking, and diagnostics for NVIDIA’s Physical AI models. Define scientific roadmap for closed/open-system evaluation, develop benchmarks for physical plausibility and temporal dynamics, and drive evaluation-to-model-improvement loops with cross-functional teams to advance world models and embodied AI.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Senior Research Manager, World Model Evaluation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead a research team focused on world-model evaluation, benchmarking, and diagnostics for NVIDIA’s Physical AI models. Define scientific roadmap for closed/open-system evaluation, develop benchmarks for physical plausibility and temporal dynamics, and drive evaluation-to-model-improvement loops with cross-functional teams to advance world models and embodied AI.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key Responsibilities

  • •Lead a team of Research Scientists focused on world-model evaluation, benchmarking, and diagnostics for NVIDIA Physical AI models, including world foundation models, world-action models, synthetic data generation systems, robotics, simulation, and embodied AI workflows.
  • •Define the scientific roadmap for closed-system and open-system evaluation, including open-loop and closed-loop benchmarks, metrics, failure taxonomy, model comparison, and evaluation-to-training feedback loops.
  • •Develop benchmarks for physical plausibility, temporal consistency, scene dynamics, object permanence, spatial reasoning, action conditioning, affordances, controllability, long-horizon coherence, SDG quality, and WAM usefulness.
  • •Develop open-system and mechanistic evaluation methods using model internals, including representation probing, causal interventions, activation analysis, ablations, sparse autoencoders, attention and feature analysis, and circuit-style diagnostics.
  • •Publish high-quality papers, technical reports, benchmarks, and open-source evaluation artifacts while establishing rigorous standards for validity, reproducibility, dataset hygiene, leakage prevention, and model comparison.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Strong research background in machine learning, computer vision, multimodal AI, robotics, world models, representation learning, model evaluation, or mechanistic interpretability.
Experience:AIMultimodal AIRoboticsWorld modelsPhysical AI
Education:PhD / Doctorate
Skills:CommunicationProblem-solvingLeadershipMentorshipStrategic thinking
Languages:English
Tech Stack:Multimodal AIRoboticsFoundation modelsEvaluation benchmarks

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
Glassdoor: 4.3
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