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Nvidia Machine Learning Internship Jobs in Raleigh, NC

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... in deep learning, machine learning or other AI domains. * Work directly with other technical ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

Nvidia

Senior AI Security Researcher

Durham, NC

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems ... Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or ...

Nvidia

Senior GPU Memory Architect

Durham, NC

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Defining and performing experiments to study the machine in action, presenting experiment results ...

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Nvidia Machine Learning Internship information

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$41.4K

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How much do nvidia machine learning internship jobs pay per year?

As of May 29, 2026, the average yearly pay for nvidia machine learning internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Machine Learning Intern, and why are they important?

To excel as an Nvidia Machine Learning Intern, you need a solid foundation in computer science, mathematics, and machine learning concepts, typically supported by progress toward a relevant degree. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and GPU computing tools (e.g., CUDA) is essential. Strong analytical thinking, problem-solving skills, and effective teamwork set standout interns apart. These competencies enable you to contribute meaningfully to advanced AI projects and collaborate efficiently within Nvidia's innovative environment.

What types of projects do interns typically work on during the Nvidia Machine Learning Internship?

During the Nvidia Machine Learning Internship, interns often work on real-world projects involving deep learning, computer vision, or natural language processing. These projects may include developing new models, optimizing existing algorithms, or contributing to open-source frameworks. Interns typically collaborate with experienced engineers and researchers, gaining hands-on experience while having access to state-of-the-art GPU hardware. The work environment encourages innovation and learning, and interns are often given opportunities to present their results to senior team members.

What is an Nvidia Machine Learning Internship?

An Nvidia Machine Learning Internship is a temporary, hands-on program for students or recent graduates to work with Nvidia’s teams on projects related to machine learning and artificial intelligence. Interns typically assist with research, data analysis, model development, and software engineering tasks using Nvidia’s cutting-edge GPU technologies. The internship provides valuable real-world experience, mentorship from industry experts, and the opportunity to contribute to innovative AI solutions. It’s a great way to build skills, expand your professional network, and potentially secure a full-time role at Nvidia in the future.

What is the difference between Nvidia Machine Learning Internship vs Data Science Internship?

AspectNvidia Machine Learning InternshipData Science Internship
Required CredentialsRelevant coursework, programming skills, possibly some machine learning certificationsStatistics, programming, data analysis skills, often a related degree
Work EnvironmentResearch labs, tech company offices, collaborative teams focused on AI/ML projectsBusiness environments, data analysis teams, cross-functional collaboration
Employer & Industry UsageTech companies, AI/ML research labs, hardware/software firms like NvidiaVarious industries including tech, finance, healthcare, and consulting

While both internships involve working with data and programming, Nvidia Machine Learning Internships focus specifically on developing and optimizing machine learning models in a hardware and AI context, whereas Data Science Internships emphasize analyzing data to derive insights across diverse industries.

What are the most commonly searched types of Nvidia Machine Learning jobs in Raleigh, NC? The most popular types of Nvidia Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Nvidia Machine Learning Internship jobs in Raleigh, NC? For Nvidia Machine Learning Internship jobs in Raleigh, NC, the most frequently searched job titles are:
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Nvidia Machine Learning Internship jobs near you
Senior Systems Software Engineer, Machine Learning

Senior Systems Software Engineer, Machine Learning

NVIDIA

Durham, NC • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. They are hiring a Deep Learning Engineer with strong experience in generative AI and computer vision to convert research into real products and build workflows that diversify datasets. The role involves shipping machine learning workflows and defining evaluation criteria for production models.
Responsibilities:
• Convert research into real products (not just slide decks or notebooks)
• Help build workflows that diversify datasets and/or populate data
• Ship machine learning workflows/pipelines fast and iterate faster
• Leverage LLM/VLM and agents in the data generation pipeline
• Define evaluation criteria and run offline evals before any model or prompt change reaches production
Qualifications:
Required:
• Master's, or preferably a PhD degree in Computer Science or a related field (or equivalent experience)
• 5+ years of experience
• Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
• Strong background in computer vision and deep learning.
• Excellent programming skills in Python and C/C++.
• Excellent software engineering fundamentals.
• Ability to develop code in Unix/Linux environments.
• Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
• Strong collaboration skills to partner with other teams.
Preferred:
• Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery
• Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) — including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
• Shipped AI-powered features to real users — not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.
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.
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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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