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), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Robotics, TechnologyIndustries

Requirements

Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience
5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models or Robotics
Hands-on training experience and publications in at least one of: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers
Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus
Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure
Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc
Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch
Deep understanding of robot kinematics, dynamics, and sensors
Ability to safely operate robot hardware, lab equipment, and tools
Knowledge of control methods, including PID, model predictive control, and whole-body control
Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim
Robot hardware design and hands-on building experience

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 all of NVIDIA to transfer research to products and services

Skills

PyTorch

Jax

TensorFlow

Python

C++

CUDA

Multimodal Foundation Models

LLMs

Vision-Language Models

Video Generative Models

Diffusion Algorithms

Action-Based Transformers

Robot Learning

Physical Simulation

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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