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Intern Nvidia Data Scientist Jobs in Decatur, AL

SOSi

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

You will leverage scientific techniques to transform petabyte-scale data into insightful data ... Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. * Cloud native ...

SOSi

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

You will leverage scientific techniques to transform petabyte-scale data into insightful data ... Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. * Cloud native ...

Reli Group Inc

Power BI Intern

Huntsville, AL · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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All JobsIntern Nvidia Data Scientist JobsIntern Nvidia Data Scientist Jobs in Decatur, AL

Intern Nvidia Data Scientist information

See Decatur, AL salary details

$43.1K

$154.7K

$228.3K

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

As of Jun 27, 2026, the average yearly pay for intern nvidia data scientist in Decatur, AL is $154,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,100.00 and $159,400.00 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.
What job categories do people searching Intern Nvidia Data Scientist jobs in Decatur, AL look for? The top searched job categories for Intern Nvidia Data Scientist jobs in Decatur, AL are:
Intern Nvidia Data Scientist jobs near you
Senior Developer Advocate Engineer

Senior Developer Advocate Engineer

Nvidia

Madison, AL

Full-time

Posted 21 hours ago

Job description

Physical AI and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and developers actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps along with its partners. Hackathons are short-typically week-long-intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them in accelerating or optimizing their projects using accelerated infrastructure and enterprise-grade software, across a variety of programming models, frameworks, and tools.

We are looking for a Senior Developer Advocate Engineer to own technical engagements for a rapidly growing program of Open Hackathons and Bootcamps focused on the use of AI in Physical AI & Robotics. In this position, you will closely collaborate with developers to help adopt the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize code and AI workflows, and build a growing community. You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for community-based development, connecting people, and mentoring? If so, we would like to speak with you right away!

What you'll be doing:

  • Stay abreast of the latest developments in robotics, physical AI, digital twins, and develop proof-of-concept solutions for real-world applications.

  • Build and refine training materials and mentor team members solving real-world problems using NVIDIA Omniverse, Isaac Sim, Isaac Lab, Cosmos, and related stacks to create simulations, digital twins, and robotics workflows, etc.

  • Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through our hackathon program.

  • Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons.

  • Mentor developers and researchers to integrate NVIDIA technology using Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies.

  • Strategize, identify, and assess potential sites, mentors, and key applications for Open Hackathons and Bootcamps.

  • Assess each hackathon's computing and software infrastructure.

  • Write comprehensive internal feedback reports and find opportunities for improvement.

What we need to see:

  • Master's degree in Computer Science, Computer Engineering, or relevant field (or equivalent experience).

  • 12+ years of relevant enterprise experience in developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment.

  • Fluent in using the NVIDIA accelerated computing stack for HPC and AI workloads.

  • Capability to think strategically, while jumping directly into day-to-day event and account management.

  • Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork.

  • Proven ability to understand partners' goals and distill that feedback into an action plan that addresses core needs.

  • Excellent verbal, written, and interpersonal communication skills.

Ways to stand out from the crowd:

  • Experience in deploying and managing data center-scale applications with Omniverse, Cosmos, or embodied AI toolchains.

  • Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.

  • Experience in facilitating and instructing at group training events.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 17, 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

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