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Nvidia Machine Learning Internship Jobs in Raleigh, NC

Nvidia

Senior ASIC Timing Engineer

Durham, NC · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101.60K - $139.50K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

New

Jaggaer

AI/ML Intern

Durham, NC · On-site

$14.50 - $19.25/hr

Principal Responsibilities We are seeking AI/ML Interns to join our AI & Innovation team. Our team ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

Jaggaer

AI/ML Intern

Durham, NC · On-site

$14.50 - $19.25/hr

Principal Responsibilities We are seeking AI/ML Interns to join our AI & Innovation team. Our team ... machine learning concepts, NLP, and deep learning architectures. • Familiarity with vector ...

New

Jaggaer

AI/ML Intern

Durham, NC · On-site

$14.50 - $19.25/hr

Principal Responsibilities We are seeking AI/ML Interns to join our AI & Innovation team. Our team ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

Jaggaer

AI/ML Intern

Durham, NC

$14.50 - $19.25/hr

Principal Responsibilities We are seeking AI/ML Interns to join our AI & Innovation team. Our team ... Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along specific pathways, including a Machine Learning Operations (MLOps) pathway. This pathway will bridge ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162.30K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more ... In-depth knowledge of nVidia/AMD GPU capabilities and architectures * Knowledge of LLM ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4K/wk

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4K/wk

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

Jaggaer

AI/ML Intern

Durham, NC

We are seeking AI/ML Interns to join our AI & Innovation team. Our team is building the next ... machine learning concepts, NLP, and deep learning architectures. · Familiarity with vector ...

New

NetApp

Principal Product Manager

Morrisville, NC

Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS/container ... NVIDIA AI software stacks, and enterprise MLOps release cadences. * Background in regulated ...

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

... building, machine learning, causality, and general data analysis. As this position is customer ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

Jobs for Humanity

Speakers/Writers

Cary, NC

$15 - $60/hr

... machine learning concepts. Important Information: - This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. - Candidates must be ...

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Nvidia Machine Learning Internship information

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$24.8K

$41.4K

$85.5K

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

As of May 30, 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:
What job categories do people searching Nvidia Machine Learning Internship jobs in Raleigh, NC look for? The top searched job categories for Nvidia Machine Learning Internship jobs in Raleigh, NC are:
Nvidia Machine Learning Internship jobs near you
Senior ASIC Timing Engineer

Senior ASIC Timing Engineer

Nvidia

Durham, NC • Hybrid

Full-time

Posted 15 days ago

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

What you'll be doing:

  • Drive Timing Analysis and Closure: Lead the timing analysis and closure processes for NVIDIA's GPUs, CPUs, LPUs, and SoCs at block level, cluster level, and full chip level.

  • Collaborate with Cross-Functional Teams: Work closely with RTL, DFX, Clocks, and other teams to devise timing closure strategies, create timing constraints, and drive timing and power convergence as well as implement ECOs.

  • Contribute to Cutting-Edge Projects: Play a pivotal role in the success of our innovative projects and advancement of our technology. Leverage your expertise to improve timing convergence flows in collaboration with methodology teams.

What we need to see:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5 years' experience or MS (or equivalent experience) with 3 years' experience in Timing and STA

  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.

  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis.

  • Experience in physical design and optimization e.g., synthesis, placement, routing, logic restructuring, etc. to improve timing and power.

  • Expertise and in-depth knowledge of industry standard STA and timing convergence tools.

  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.

Ways to stand out from the crowd:

  • Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPU or SOCs

  • Background in logic synthesis and equivalence checking/FV.

  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.

  • Understanding and timing closure of digital logic/macros in AMS designs/IPs.

  • Experience in methodology and/or flow development as well as automation.

NVIDIA is widely considered to be the leader of AI computing, and 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.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 22, 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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