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Intern Nvidia Data Scientist Jobs (NOW HIRING)

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets ...

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure ... Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information ...

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that ...

OR · On-site

They excel at explaining how NVIDIA technology addresses complex, real-world challenges. What You'll Be Doing: * Develop and maintain deep technical expertise in data processing and data science.

$20 - $26/hr

Overview We are looking for a curious, driven Data Science intern to join our analytics team for the summer. You will work on real healthcare data problems alongside full-time data scientists and ...

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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.
Solutions Architect, Data Center Infrastructure - NVIS

Solutions Architect, Data Center Infrastructure - NVIS

Nvidia

OR

Full-time

Posted 6 days ago


Job description

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers! NVIDIA is looking for someone who can lead planning and deployments of AI data centers including power/cooling systems, cabling and network provisioning and bring-up/validation.

As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards. This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems.

What you will be doing:

  • NVIS Datacenter Engineering and planning: Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems.

  • Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment.

  • Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement.

  • Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness.

  • Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams.

  • Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles.

  • Quality Assurance: Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components.

  • Continuous Improvement: Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations.

  • Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions. Serve as a domain expert and point of contact for infrastructure-related inquiries and blocking issues.

What we need to see:

  • Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field.

  • Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers.

  • Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments.

  • Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning

  • Relevant certification - preferred

  • Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change.

  • Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality.

  • Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions.

  • Organization & Time Management - able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames.

  • Willingness to travel (up to 40%).

Way to stand out from the crowd:

  • Linux system administration skills

  • Strong knowledge of whole data center Infrastructure stack

  • Flexible/agile and enjoys solving challenging problems

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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