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Internship Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

D. in Computer Science, Computer Engineering, related field or equivalent experience • 3+ years ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

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How much do internship nvidia engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship nvidia engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Nvidia Engineering vs Software Engineering Intern?

AspectInternship Nvidia EngineeringSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related field, strong programming skillsEnrolled in Computer Science or related field, coding proficiency
Work EnvironmentResearch labs, hardware and software development teams at NvidiaSoftware development teams, tech companies or startups
Employer & Industry UsageNvidia, semiconductor and AI industryTech companies, software firms, startups
Common Search & ComparisonInternship Nvidia Engineering vs Software Engineering Intern

Internship Nvidia Engineering focuses on hardware, AI, and graphics technology within Nvidia's innovative environment, while Software Engineering Internships are broader, covering various software development roles across multiple tech companies. Both require programming skills and relevant coursework, but Nvidia internships emphasize hardware-software integration and AI applications.

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What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
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Internship Nvidia Engineering jobs near you
Infographic showing various Internship Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior Research Scientist, Efficient Deep Learning

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Re-posted 11 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. The role involves researching, designing, and implementing novel methods for efficient deep learning while collaborating with internal and external teams and mentoring interns.
Responsibilities:
• Research, design and implement novel methods for efficient deep learning.
• Publish original research. Speak at conferences and events.
• Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
• Work with product groups to transfer technology.
Qualifications:
Required:
• A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
• 3+ years or relevant post-graduate research experience
• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
• A background in pruning, quantization, NAS, efficient backbones is required.
• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).
• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
• An outstanding research track record and strong communications skills.
Preferred:
• Experience with large language models and large vision-language models is a plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

Year founded

1993

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