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Intern Nvidia Data Scientist Jobs (NOW HIRING)

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... What we need to see: * BS or MS degree in Computer Engineering, Computer Science, or related degree ...

Data Scientist Intern - Data Warehouse & Analytics Location: Hybrid/Remote Duration: Summer 2026 Position Overview We are seeking a motivated and detail-oriented Data Scientist Intern to support the ...

As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities * Perform large ...

Senior Data Scientist

Marina Del Rey, CA · On-site

$200K - $225K/yr

PyTorch, Triton Inference Server, vLLM, Nvidia Dynamo, Nvidia TensorRT LLM, Weights and Biases ... data science * Hands-on experience fine-tuning large language models (open-source and/or closed ...

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Intern Nvidia Data Scientist information

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$46K

$165K

$243.5K

How much do intern nvidia data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for intern nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What types of projects can an intern expect to work on as a Data Scientist at Nvidia?

As a Data Scientist intern at Nvidia, you can expect to work on a variety of projects that leverage large datasets and advanced machine learning techniques. Typical assignments may involve developing models for computer vision, natural language processing, or GPU-accelerated data analytics. You'll likely collaborate closely with experienced scientists, software engineers, and product teams, contributing to both research-oriented and production-focused tasks. These projects offer valuable exposure to real-world challenges and cutting-edge technologies, providing an excellent foundation for future career growth in the field.

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

To thrive as an Intern Nvidia Data Scientist, you need a strong background in statistics, machine learning, programming (Python, R), and a relevant degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, CUDA, and data visualization software is often expected. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These competencies are crucial for successful project contributions, effective teamwork, and leveraging Nvidia's advanced technologies in real-world data science applications.

What is the difference between Intern Nvidia Data Scientist vs Intern Nvidia Data Analyst?

AspectIntern Nvidia Data ScientistIntern Nvidia Data Analyst
Required CredentialsRelevant degree in Data Science, Computer Science, or related field; programming skills in Python, R; basic understanding of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams focusing on advanced analytics, machine learning models, and AI projectsData reporting, visualization, and interpreting data trends for business insights
Employer & Industry UsageUsed across Nvidia's AI, autonomous vehicles, and research divisionsApplied in marketing, sales, and product teams for data-driven decision making

Intern Nvidia Data Scientists focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. Intern Nvidia Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are valuable in Nvidia's tech environment but differ in technical depth and project scope.

What does an Intern Nvidia Data Scientist do?

An Intern Nvidia Data Scientist works with experienced teams to analyze large datasets, develop models, and create data-driven solutions using machine learning and deep learning techniques. The role often includes tasks like data cleaning, exploratory analysis, model training, and performance evaluation. Interns may also help optimize algorithms for Nvidia hardware platforms and contribute to real-world projects that impact Nvidia’s products and services. This experience provides interns with valuable exposure to cutting-edge AI technologies and industry best practices.
More about Intern Nvidia Data Scientist jobs
What cities are hiring for Intern Nvidia Data Scientist jobs? Cities with the most Intern Nvidia Data Scientist job openings:
What are the most commonly searched types of Nvidia Data Scientist jobs? The most popular types of Nvidia Data Scientist jobs are:
What states have the most Intern Nvidia Data Scientist jobs? States with the most job openings for Intern Nvidia Data Scientist jobs include:
Infographic showing various Intern Nvidia Data Scientist job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Formal Verification Intern - Fall 2026

Formal Verification Intern - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 6 days ago


Job description

We're now looking for a Formal Verification Intern. NVIDIA is seeking elite Formal Verification Engineering Interns to help verify the design and implementation of the world's leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you'll be doing:
  • Define critical behaviors and craft comprehensive test plans for advanced hardware designs.
  • Work effectively within a diverse, innovative engineering team.
  • Collaborate to solve complex verification challenges using state-of-the-art formal verification methodologies.
  • Develop environment assumptions, assertions, and coverage properties to ensure robust verification.
  • Build abstraction models to create formal test benches and address complexities in achieving full or bounded proofs with sufficient coverage.
  • Utilize AI tools to enhance debug and flow development.
  • Analyze and debug RTL to pinpoint and resolve failure scenarios.
  • Contribute to the development of scripts and process improvements to enhance verification workflows.

What we need to see:
  • Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Science, or a related field.
  • Demonstrated passion for formal verification and/or digital hardware design.
  • Solid understanding of hardware design principles.
  • Strong analytical and problem-solving skills.
  • Practical experience with Verilog or SystemVerilog, including temporal logic assertions.
  • Proficiency in scripting languages such as TCL, Perl, and/or Python.

Ways to Stand out from the crowd:
  • Hands-on experience with formal verification of hardware or design verification.
  • Expertise in writing SystemVerilog Assertions (SVAs) for hardware verification.
  • Familiarity with EDA formal verification tools.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here - we need your help to build our future. Are you creative, ambitious, and love challenges? We want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until May 8, 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.

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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