Research Scientist Intern, Simulation Technology - 2026 at NVIDIA

Toronto, Ontario, Canada

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Graphics, RoboticsIndustries

Requirements

Currently pursuing a B.S., Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
Past experience in cross collaborative environments
Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
For Master’s or PhD candidates: In-depth knowledge of the theory and practice of machine learning
For Master’s or PhD candidates: Minimum 1 strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)
For Master’s or PhD candidates: Knowledge of common machine learning frameworks
For Master’s or PhD candidates: Track record of research excellence

Responsibilities

Invent or apply deep learning techniques to the field of 3D or 4D content creation (photogrammetry, generative AI)
Work on improving realism and immersive qualities of VR environments and interactions, including creating content with AI techniques, intelligent characters, and behavior of crowds and traffic
Participate in projects to conduct Deep Learning research and publish papers to well known conferences (ex. CVPR, NeurIPS)
Research dedicated to developing deep learning technology for Games, Virtual Reality, and other applications

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningComputer VisionComputer GraphicsGenerative AI3D Deep LearningPhotogrammetryTransfer LearningDomain Adaptation

Questions & Answers

Common questions about this position

What is the pay for this internship?

NVIDIA offers standard hourly rates for its internships based on the location.

Is this a remote position or does it require being on-site?

This information is not specified in the job description.

What qualifications are required for this Research Scientist Intern role?

Candidates must be currently pursuing a B.S., Master’s or Ph.D. in fields like Electrical Engineering, Computer Science, Math, Physics, or Statistics, with past experience in collaborative environments and at least one course in machine learning. For Master’s or PhD applicants, in-depth knowledge of machine learning theory and practice, at least one strong publication in top conferences like NeurIPS or CVPR, and familiarity with common ML frameworks are required.

What is the company culture like at NVIDIA?

NVIDIA has a unique open culture and is considered one of the best industry labs for AI research, with forward-thinking, hardworking people who are creative, autonomous, and passionate about impacting the world.

What makes a strong candidate for this internship?

A strong candidate is currently pursuing an advanced degree, has a track record of research excellence with at least one strong publication in top conferences, in-depth machine learning knowledge, and experience in collaborative environments.

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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