1

Nvidia Machine Learning Internship Jobs in Milwaukee, WI

Be Seen First

Account Manager

Waukesha, WI · On-site

$60K - $78K/yr

Previous experience through an internship, part time role, sales position, customer service ... Strong mechanical aptitude and an interest in learning how industrial machinery and equipment work

Our team is highly engaged, enjoys mentoring and fosters a culture of learning and growth within ... interns, dedicated technicians, and client-focused support staff. There is a full-time social ...

Showing results 21-31

Nvidia Machine Learning Internship information

See Milwaukee, WI salary details

$25.1K

$42K

$86.7K

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

As of Aug 17, 2026, the average yearly pay for nvidia machine learning internship in Milwaukee, WI is $41,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Nvidia Machine Learning Internship jobs in Milwaukee, WI?

For Nvidia Machine Learning Internship jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Nvidia Machine Learning Internship jobs in Milwaukee, WI look for?

The top searched job categories for Nvidia Machine Learning Internship jobs in Milwaukee, WI are:

Firmware Test Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Job Description:
*Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position.
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our electrical engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
The Firmware Test Engineer I will collaborate with cross-functional teams to design and execute tests used to validate firmware used on embedded systems. You will interface with the hardware design and agile teams throughout the product development process to ensure on-time delivery of firmware components.
You'll also be DISRUPTIVE through these duties and responsibilities:
  • Design, develop, execute, and troubleshoot test procedures for firmware features, applications, and subsystems of low to mid-level complexity under the supervision of senior engineers.
  • Assist with the review and refinement of engineering requirements for test needs.
  • Support peer-review of test designs and automation.
  • Support execution of test plans that enable the delivery of firmware that meets all requirements through testing
  • Assist in the continuous improvement efforts of test development.
  • Conduct experiments, perform simulations, and draw concise, logical conclusions by analyzing data.
  • Use Agile methods to track tasks to ensure adherence to schedule and Milwaukee Tool's processes.
  • Schedule, develop agendas for, facilitate, and document technical meetings and formal presentations.

What TOOLS you'll bring with you:
  • Bachelor of Science Degree in Electrical Engineering, Computer Engineering, or related field.
  • Experience with testing, embedded systems and/or PCBA design.
  • Experience with National Instrument hardware, Test Stand, and LabView in automated testing.
  • Ability to read schematics and component data sheets, along with a basic understanding of digital circuits to understand the interaction between firmware and electronics.
  • Familiarity with laboratory equipment such as oscilloscopes, logic analyzers, power supplies, e-loads, data acquisition systems, multimeters, power analyzers, etc.
  • Knowledge of and some experience participating in the software development lifecycle.
  • Familiarity with tools used for software configuration management, requirements management, defect tracking, and peer review.
  • Exposure to DevOps, automated testing, continuous integration/continuous deployment (CI/CD).
  • Excellent problem-solving skills, exercises independent judgement, and works well under pressure in a dynamic environment.
  • Self-motivated, organized, efficient, and process oriented.
  • Strong communication skills (verbal and written).
  • Ability to travel up to 10% (Domestic and International).

Other TOOLS we prefer you to have:
  • Experience with Python, or C/C++.
  • Experience with unit testing and structural testing methodologies.
  • Relevant experience outside of an academic setting (i.e. internship, co-op, self-study, hobbies).
  • Experience collaborating cross-functionally outside of your core discipline.
  • Exposure to bare-metal firmware design.

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.