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Internship Nvidia Robotics Jobs in New York (NOW HIRING)

ML Infrastructure Engineer, Fauna

New York, NY · On-site

$117K - $154K/yr

... hardware (NVIDIA Jetson) with strict latency and memory constraints Build and maintain MLOps ... Our goal is simple: make robots people actually want to live and interact with in everyday human ...

Internship Nvidia Robotics information

What is an Internship Nvidia Robotics?

Internship Nvidia Robotics positions are temporary roles offered by Nvidia for students or recent graduates interested in robotics and artificial intelligence. These internships provide hands-on experience working with cutting-edge robotics technology, including autonomous machines, computer vision, and machine learning. Interns collaborate with experienced engineers and researchers to solve real-world problems, contribute to ongoing projects, and sometimes publish research. The roles are ideal for those pursuing degrees in computer science, robotics, electrical engineering, or related fields, and offer exposure to Nvidia's unique tools and platforms.

What types of projects do interns typically work on during a Robotics internship at Nvidia?

As a Robotics intern at Nvidia, you'll usually be assigned to real-world projects that contribute directly to the company's robotics initiatives, such as developing algorithms for autonomous systems, enhancing simulation environments, or testing robotics software on physical platforms. Interns often collaborate with experienced engineers and researchers, gaining hands-on experience with state-of-the-art hardware and AI frameworks. The projects are structured to provide both learning opportunities and meaningful contributions, allowing interns to develop technical skills while understanding industry workflows.

What are the key skills and qualifications needed to thrive as an Internship Nvidia Robotics, and why are they important?

To thrive as an intern in Nvidia Robotics, you need a solid background in computer science, robotics, or engineering, with proficiency in programming languages like Python or C++. Familiarity with robotics frameworks (e.g., ROS), simulation tools, and version control systems, as well as coursework or certifications in AI or machine learning, are highly valued. Strong problem-solving skills, teamwork, and adaptability help you excel in collaborative and fast-evolving project environments. These competencies are crucial for contributing effectively to innovative robotics projects and gaining hands-on experience in an industry-leading technology company.

What is the difference between Internship Nvidia Robotics vs Robotics Engineer?

AspectInternship Nvidia RoboticsRobotics Engineer
Required CredentialsEnrolled in a related degree program, basic technical skillsBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering
Work EnvironmentInternship program at Nvidia, collaborative, research-focusedFull-time role in robotics development, engineering teams
Employer & Industry UsageNvidia, technology and AI industryVarious companies in robotics, automation, manufacturing
Common Search & Comparison IntentLearning about entry-level opportunities in Nvidia RoboticsUnderstanding career progression in robotics engineering

Internship Nvidia Robotics provides students with hands-on experience in Nvidia's robotics projects, focusing on learning and skill development. Robotics Engineer roles are full-time positions requiring advanced education and experience, involving designing, developing, and maintaining robotic systems. While internships are ideal for gaining industry exposure, engineering roles offer long-term career growth in robotics development.

What are the most commonly searched types of Nvidia Robotics jobs in New York?

The most popular types of Nvidia Robotics jobs in New York are:

What cities in New York are hiring for Internship Nvidia Robotics jobs?

Cities in New York with the most Internship Nvidia Robotics job openings:

Infographic showing various Internship Nvidia Robotics job openings in New York as of August 2026, with employment types broken down into 10% Internship, 70% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI and FSI Developer Technology Engineer- New College Grad 2026

New York, NY • On-site


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 22 days ago


Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

We're looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you'll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world's most advanced processing hardware. You'll collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Would you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we would love to invite you to consider this role!

What you will be doing:

  • Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.

  • Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.

  • Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.

  • Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.

  • Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.

What we need to see:

  • Pursuing or recently completed a Master's or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.

  • Relevant work or research experience.

  • Experience with low-level parallel programming (e.g., CUDA).

  • Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.

  • Fluency in C/C++ and solid foundations in algorithms and software design.

  • Experience improving the performance of large-scale computational applications on GPUs.

  • Good understanding of linear algebra.

  • Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.

Ways to stand out from the crowd:

  • Prior internship experience in a related field.

  • Experience with inference optimization techniques and deploying optimized AI models in production.

  • Experience with TensorRT, TensorRT-LLM, and cuTile.

  • Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.

  • Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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