3 months ago

Senior Research Scientist, Multimodal Foundation Models and Robotics

✓ 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 research on multimodal foundation models and robotics to build general-purpose embodied agents. Design and implement AI algorithms for humanoid robots, develop large-scale training/inference methods, and deploy models in simulation and on hardware while collaborating across NVIDIA to translate research into products and services.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key 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.

Pay and Benefits

Salary: USD 192,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
•5 years of relevant work/research experience in either Multimodal Foundation Models or Robotics.
•Hands-on training and publications in topics such as LLMs, large vision-language models, video generative models, or action-based transformers.
•Strong engineering skills in rapid prototyping and model training with Python; experience with PyTorch, Jax or TensorFlow; CUDA is a plus.
•Excellent skills in working with large-scale ML/AI systems and compute infrastructure; robotics experience including reinforcement learning, imitation learning, and control methods; proficient in Python, C++, ROS, and ML frameworks like PyTorch.

Experience:Multimodal foundation modelsRoboticsLarge-scale MLEmbodied agentsAI systems

Education:PhD / Doctorate

Skills:PythonPyTorchJaxTensorFlowC++CUDAROSMuJoCoIsaac Sim

Languages:English

Tech Stack:PythonPyTorchJaxTensorFlowC++CUDAROSMuJoCoIsaac Sim

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

3 months ago

Senior Research Scientist, Multimodal Foundation Models and Robotics

✓ 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: Data Science & Machine Learning

Seniority: Sr. Director level

Key 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.

Pay and Benefits

Salary: USD 192,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
•5 years of relevant work/research experience in either Multimodal Foundation Models or Robotics.
•Hands-on training and publications in topics such as LLMs, large vision-language models, video generative models, or action-based transformers.
•Strong engineering skills in rapid prototyping and model training with Python; experience with PyTorch, Jax or TensorFlow; CUDA is a plus.
•Excellent skills in working with large-scale ML/AI systems and compute infrastructure; robotics experience including reinforcement learning, imitation learning, and control methods; proficient in Python, C++, ROS, and ML frameworks like PyTorch.

Experience:Multimodal foundation modelsRoboticsLarge-scale MLEmbodied agentsAI systems

Education:PhD / Doctorate

Skills:PythonPyTorchJaxTensorFlowC++CUDAROSMuJoCoIsaac Sim

Languages:English

Tech Stack:PythonPyTorchJaxTensorFlowC++CUDAROSMuJoCoIsaac Sim

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