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Internship Computer Graphics Engineer Jobs in New York

Penderie

Associate Internship Program

Edgewater, NJ · On-site

... technology, programing languages & web technologies, business analysis, project management etc ... graphic design, QA, project management and product development. POSITION There are three types of ...

Penderie

Associate Internship Program

Edgewater, NJ · On-site

$38K - $52K/yr

... technology, programing languages & web technologies, business analysis, project management etc ... graphic design, QA, project management and product development. POSITION There are three types of ...

Penderie

Associate Internship Program

Edgewater, NJ

... technology, programing languages & web technologies, business analysis, project management etc ... graphic design, QA, project management and product development. POSITION There are three types of ...

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All JobsInternship Computer Graphics Engineer JobsInternship Computer Graphics Engineer Jobs in New York

Internship Computer Graphics Engineer information

What is the difference between Internship Computer Graphics Engineer vs Junior 3D Artist?

AspectInternship Computer Graphics EngineerJunior 3D Artist
Required CredentialsEnrolled in or recent graduate of Computer Graphics, Animation, or related programsPortfolio showcasing 3D modeling and animation skills, often with relevant coursework
Work EnvironmentTech companies, gaming studios, animation firms, often in collaborative teamsCreative studios, gaming companies, advertising agencies, often in artistic settings
Employer & Industry UsageUsed in tech, gaming, and entertainment industries for developing graphics and visual effectsCommon in entertainment, gaming, and advertising industries for creating visual content

While both roles involve computer graphics, an Internship Computer Graphics Engineer focuses on technical development and programming, often in a collaborative tech environment, whereas a Junior 3D Artist emphasizes artistic skills in modeling and animation. The internship provides foundational experience, preparing for a full engineering role, while a Junior 3D Artist typically works on visual content creation.

What are the most commonly searched types of Computer Graphics Engineer jobs in New York? The most popular types of Computer Graphics Engineer jobs in New York are:
What are popular job titles related to Internship Computer Graphics Engineer jobs in New York? For Internship Computer Graphics Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Internship Computer Graphics Engineer jobs in New York look for? The top searched job categories for Internship Computer Graphics Engineer jobs in New York are:
What cities in New York are hiring for Internship Computer Graphics Engineer jobs? Cities in New York with the most Internship Computer Graphics Engineer job openings:
Internship Computer Graphics Engineer jobs near you
AI and FSI Developer Technology Engineer- New College Grad 2026

AI and FSI Developer Technology Engineer- New College Grad 2026

Nvidia

New York, NY

Full-time

Posted 17 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.
Nvidia logo

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

Year founded

1993

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