Senior Research Scientist, Multimodal Foundation Models and Robotics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Robotics, TechnologyIndustries

Requirements

Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience
5 years of relevant work/research experience in Multimodal Foundation Models
5 years of relevant work/research experience in Robot Learning (Reinforcement Learning, Imitation Learning, Classical Control Methods)
Proficiency in Python (required)
Experience with model training frameworks (PyTorch, Jax, TensorFlow, etc.)
C++ and CUDA proficiencies (a plus)
Strong understanding of large-scale machine learning/AI systems and compute infrastructure
Hands-on experience with robot hardware, lab equipment, and tools
Familiarity with robot kinematics, dynamics, and sensors
Knowledge of control methods (PID, Model Predictive Control, Whole-Body Control)
Experience with physics simulation frameworks (MuJoCo, Isaac Sim)

Responsibilities

Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents
Develop large-scale AI training and inference methods for foundation models
Optimize and deploy AI models in physical simulation and on robot hardware
Collaborate with research and engineering teams across NVIDIA to transfer research to products and services
Contribute to influential research publications in areas such as LLMs, large vision-language models, video generative models, and action-based transformers

Skills

Key technologies and capabilities for this role

PythonPyTorchJAXTensorFlowC++CUDAReinforcement LearningImitation LearningMuJoCoIsaac SimPIDModel Predictive ControlRobot Kinematics

Questions & Answers

Common questions about this position

Is this position remote or onsite?

The position is onsite.

What technical skills are required for this role?

Required skills include proficiency in Python, experience with model training frameworks like PyTorch, Jax, or TensorFlow, and a strong understanding of large-scale machine learning/AI systems and compute infrastructure. C++ and CUDA proficiencies are a plus.

What experience is needed for this Senior Research Scientist position?

Candidates need a Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent, plus 5 years of relevant work/research experience in Multimodal Foundation Models and Robot Learning including Reinforcement Learning, Imitation Learning, and Classical Control Methods.

What is the company culture like at NVIDIA for this team?

NVIDIA is widely considered one of the technology world's most desirable employers, with a talented research team in the Generalist Embodied Agent Research (GEAR) group focused on impactful projects like Project GR00T, Eureka, VIMA, and others.

What makes a strong candidate for this role?

A strong candidate will have hands-on robotics experience with hardware, kinematics, dynamics, sensors, control methods like PID and Model Predictive Control, and physics simulation frameworks such as MuJoCo or Isaac Sim, along with the required education and experience.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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