Top 25 Executive research directors Jobs in Livermore, Ca

Senior Research Manager, World Model Evaluation
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Vice President, R&D
The Clorox Company —Pleasanton, CA
- Full-time
- Hybrid work
- 11+ years
- Master's degree
- Analysis skills
- Health insurance
- 401(k)
Fellow, AI Investigation & Incubation
Aveva —San Leandro, CA
- $293,500 - $489,500 a year
- Full-time
- Hybrid work
- Background check
- Computer Science
- Pass drug screening
- Health insurance
- Dental insurance
Leader, AI Research Hybrid
Cisco Systems —San Jose, CA
- $193,800 - $317,100 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Paid parental leave
- Paid holidays
Director, Science Directorate
US Ames Research Center —Moffett Field, CA
- $210,812 - $217,332 a year
- Online Application
- Background check
- Computer Science
- Pass drug screening
3d
AI Research Manager
Meta —Menlo Park, CA
- $219,000 - $301,000 a year
- Mentoring
- Organizational skills
- Fair chance
Principal Associate Director (PAD) for Computing
Lawrence Livermore National Laboratory —Livermore, CA
- $521,580 - $669,864 a year
- Full-time
- Hybrid work
- Pass drug screening
- Doctor of Philosophy
- Recruiting
- Relocation assistance
- 401(k)
Director, AI Research
Advanced Micro Devices, Inc —Santa Clara, CA
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Mentoring
Sr Manager Application Science- Software Strategy and Workflow
Thermo Fisher Scientific —Pleasanton, CA
- $163,100 - $217,000 a year
- Full-time
- Background check
- Pass drug screening
- Laboratory experience
- Commuter assistance
- Paid parental leave
9d
AI Research Manager - Meta Superintelligence Labs
Meta —Menlo Park, CA
- $219,000 - $301,000 a year
- Computer Science
- Doctor of Philosophy
- Mentoring
10d
Director, AI Research - Strategic Partnerships
Advanced Micro Devices, Inc —Santa Clara, CA
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Mentoring
Science & Medicine Advisor
American Heart Association —San Jose, CA
- $110,000 - $120,000 a year
- Full-time
- Medicine
- Office
- Doctor of Philosophy
- Wellness program
- Paid holidays
Director, AI Research - Recursive Self-Improvement
Advanced Micro Devices, Inc —Santa Clara, CA
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Mentoring
VP, Advanced Development
Coherent Corp. —Santa Clara, CA
- Full-time
- 11+ years
- Doctor of Philosophy
- Senior level
Director of Technology - Wafer Cleaning
Applied Materials —Santa Clara, CA
- $185,000 - $254,000 a year
- Full-time
- Travel
- Senior level
- Leadership
Memory Process Integration Director
Applied Materials —Santa Clara, CA
- $185,000 - $254,000 a year
- Full-time
- Travel
- Senior level
- Leadership
Advanced Defect Modeling and Testing (Technical Manager) (7101)
TSMC —San Jose, CA
- $152,500 - $244,000 a year
- 11+ years
- Master's degree
- Machine learning
Senior Manager, Robot Intelligence Data Efficiency
Samsung Research America —Mountain View, CA
- $203,700 - $305,500 a year
- 7 years
- Office
- Doctor of Philosophy
Quick Apply
R&D Director / Sr. Principle Engineer, Semiconductor Process and Device Simulations
Siemens —Santa Clara, CA
- $180,400 - $324,700 a year
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Senior level
Senior Manager, Emerging Tech – New Technology Incubation
Samsung Research America —Mountain View, CA
- $179,200 - $246,150 a year
- Office
- 8 years
- Presentation skills
Quick Apply

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executive research directors jobs near livermore, ca

Senior Research Manager, World Model Evaluation

NVIDIA -
Santa Clara, CA

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Job Details

Full-time
$272,000 - $431,250 a year

Qualifications

AI models
Managing scientific research projects
Evaluation research
Robotic systems
Computer vision
Managing teams of scientists
Engineering research
Benchmarking
Cross-functional collaboration
Cross-functional team management
Model evaluation
Senior leadership

Full Job Description

At NVIDIA, we’re not just building the future, we’re generating it! Our world model team is pushing the boundaries of multimodal AI, robotics, and world foundation models for Physical AI. We are looking for a Senior Research Manager to lead world-model evaluation and benchmarking across NVIDIA’s Physical AI model portfolio. This role will build the team and research agenda for evaluating world models through closed-system evaluations, where the model under test is pluggable, and open-system evaluations, where access to model internals enables deeper diagnostics, causal analysis, and mechanistic evaluation.

This is not only about leaderboards. It is about defining what makes a world model useful for Physical AI, discovering model failures, and turning those findings into better data, training recipes, model roadmaps, and downstream systems. The team will build a closed improvement loop across model evaluation, failure discovery, data generation, post-training, and re-evaluation.

What you’ll be doing:

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.
Drive evaluation-to-model-improvement loops with training, post-training, data curation, simulation, robotics, SDG, WAM, and applied research teams, including failure discovery, data generation, post-training priorities, model roadmap feedback, and re-evaluation.
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.

What we need to see:

Strong research background in machine learning, computer vision, multimodal AI, robotics, world models, representation learning, model evaluation, or mechanistic interpretability.
Experience leading research teams, research programs, or cross-functional technical initiatives with measurable scientific and product impact.
Deep understanding of modern foundation models, including video models, vision-language-action models, diffusion or flow models, self-supervised learning, or world-model architectures.
Experience designing serious benchmarks, evaluation datasets, metrics, diagnostic tools, or model analysis frameworks for complex ML systems.
Familiarity with world-model evaluation and open-system analysis techniques, such as physical plausibility, temporal consistency, action conditioning, counterfactual reasoning, representation probing, activation patching, causal interventions, sparse autoencoders, or feature attribution.
PhD, or equivalent experience in Computer Science, Electrical Engineering, Robotics, Machine Learning, AI, or a related field, with
12+ overall years of relevant research or engineering experience as well as 5+ years of management experience.
Ability to work onsite at NVIDIA’s Santa Clara headquarters; this is not a remote position.

Ways to stand out from the crowd:

Built influential benchmarks, evaluation suites, model diagnostics, or interpretability tools used by research or production teams.
Published in areas such as world models, video generation, physical AI, embodied AI, robotics, representation learning, mechanistic interpretability, self-supervised learning, or model evaluation.
Experience evaluating generative video models, action-conditioned world models, robotics foundation models, world-action models, synthetic data generation systems, simulation systems, or vision-language-action models.
Strong point of view on what current benchmarks miss, and excitement to build the next generation of evaluation science for Physical AI.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Refine Your Search

executive research directors jobs in livermore, ca

Senior Research Manager, World Model Evaluation

Vice President, R&D

Fellow, AI Investigation & Incubation

Leader, AI Research Hybrid

Director, Science Directorate

AI Research Manager

Principal Associate Director (PAD) for Computing

Director, AI Research

Sr Manager Application Science- Software Strategy and Workflow

AI Research Manager - Meta Superintelligence Labs

Director, AI Research - Strategic Partnerships

Science & Medicine Advisor

Director, AI Research - Recursive Self-Improvement

VP, Advanced Development

Director of Technology - Wafer Cleaning

Memory Process Integration Director

Advanced Defect Modeling and Testing (Technical Manager) (7101)

Senior Manager, Robot Intelligence Data Efficiency

R&D Director / Sr. Principle Engineer, Semiconductor Process and Device Simulations

Senior Manager, Emerging Tech – New Technology Incubation

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