Senior Robotics Research Scientist at NVIDIA

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, TechnologyIndustries

Requirements

PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience)
At least 3 years of research experience after completing PhD; 5+ years preferred
Deep knowledge of both the theory and practice of robotics and AI, with strong interest in real-world robotics applications
Proven track record of research excellence, with publications in top conferences/journals (e.g., RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, EMNLP)
Exceptional communication, collaboration, and interpersonal skills, with experience as both leader and contributor on teams
Exceptional programming skills in Python
Fluency in modern deep learning frameworks such as PyTorch and JAX
Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo
Deep comfort working with simulation and real-world robotics complexities (e.g., debugging physics simulators/renderers, setting up/maintaining robotics hardware, debugging communication systems, designing robust workflows for model training/evaluation)
Familiarity with C++, CUDA, and Warp (plus)

Responsibilities

Developing algorithms, models, and methods for robotic manipulation and loco-manipulation for industrial and household applications
Integrating methods into real-world robotic manipulation systems (e.g., collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, dexterous hands)
Co-leading and contributing to multi-person research projects across robotics and machine learning stack
Engaging with academic community through high-impact publications, conferences, workshops, and code releases
Collaborating with product managers and engineering teams to transfer research into NVIDIA products
Mentoring interns and more junior research scientists and engineers

Skills

Robotic Manipulation

Loco-Manipulation

Reinforcement Learning

Imitation Learning

Perception

Planning

Control

Simulation

Physics Simulation

Computer Vision

Isaac Sim

Isaac Lab

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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