This role pays more than
99%
of similar roles. Most pay
$165,000–$242,562
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
994 open roles
on FindRole.
Listed pay typically runs
$168,000–$270,250
across 977 roles with salary data.
As a Senior Research Manager at NVIDIA’s world model team, you will lead a group of Research Scientists in evaluating and benchmarking multimodal AI, robotics, and world foundation models. Your day-to-day responsibilities include defining a scientific roadmap for both closed-system and open-system evaluations, developing benchmarks for physical plausibility and temporal consistency, and driving evaluation-to-model-improvement loops with training teams. You will also publish high-quality papers and establish rigorous standards for model comparison. Ideal candidates have a strong research background in machine learning, computer vision, or robotics, experience leading research programs, and deep knowledge of modern foundation models. Familiarity with world-model evaluation techniques such as representation probing and causal interventions is essential. This role requires 12+ years of relevant research or engineering experience and 5+ years of management experience, with a focus on Physical AI and embodied systems at scale.
Lead a team focused on evaluating and benchmarking NVIDIA’s Physical AI models.
Define scientific roadmap for closed-system and open-system evaluations of world models.
Develop benchmarks for physical plausibility, temporal consistency, and spatial reasoning.
Create mechanistic evaluation methods using model internals for deep diagnostics.
Drive improvement loops by integrating evaluation feedback into training processes.
Publish high-quality papers on evaluation methodologies and open-source artifacts.
What we're looking for
Strong research background in machine learning, computer vision, multimodal AI, robotics, world models, representation learning, model evaluation, or mechanistic interpretability.
Experience leading research teams and designing serious benchmarks with measurable scientific impact.
Deep understanding of modern foundation models including video models, self-supervised learning, and world-model architectures.
Familiarity with advanced world-model evaluation techniques such as physical plausibility, temporal consistency, and causal interventions.
Published influential papers or tools in areas like world models, embodied AI, robotics, representation learning, or model evaluation.
12+ years of relevant research or engineering experience including 5+ years of management experience.
Ability to work onsite at NVIDIA’s Santa Clara headquarters.
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