Posted:
10/20/2024, 5:00:00 PM
Location(s):
California, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Remote
By submitting your resume, you’re expressing interest in one of our 2025 Computer Architecture or Systems focused Research Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
What you'll be doing:
Develop algorithms and design hardware and software extending the state of the art in computing, graphics, media processing, and other technology areas surrounding NVIDIA's business.
Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications.
Produce technology vision and the basis for products 5-10 years out. Focus should not be on products currently shipping or in development, except as to how they can be extended and improved.
What we need to see:
Currently pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
Research experience in at least one of the following areas:
Computer Architecture
Operating Systems
Compilers
HPC
Systems
Parallel Computing
Distributed Computing
Networks- Large Scale System Design
Topologies
Routing protocols
Network Management
Resilience
Power Management
Resource Disaggregation
ASIC and VLSI
ASIC and VLSI Design Techniques
Machine Learning Accelerator Approaches
Excellent programming skills in one or more of the following: C, C++, Perl, Python, and Rust.
Familiarity with CUDA.
A strong publication, patent, presentation, and research collaboration history is a plus.
Excellent communication skills.
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world. Are you a creative and collaborative researcher with a real passion for computer graphics? If so, we want to hear from you!
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
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.Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality