NVIDIA

1 month ago

Senior Research Manager, World Model Evaluation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day 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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Research Manager, World Model Evaluation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

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

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