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Nvidia Machine Learning Internship Jobs in Solon, OH

Skills: * High learning agility with a strong interest in procurement, supplier management ... Co-op, internship, or academic project experience in Purchasing, Supply Chain, Manufacturing ...

Gather and analyze process steps, labor content, machine cycle times, setup times, and material ... Prior internship, co-op, shop, or manufacturing experience is a plus. Learning Opportunities * Gain ...

(DOD Skillbridge) Quality Intern

Euclid, OH · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

(DOD Skillbridge) Quality Intern

Euclid, OH · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

Showing results 21-36

Nvidia Machine Learning Internship information

See Solon, OH salary details

$23.7K

$39.6K

$81.8K

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

As of Aug 14, 2026, the average yearly pay for nvidia machine learning internship in Solon, OH is $39,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,800.00 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 cities near Solon, OH are hiring for Nvidia Machine Learning Internship jobs?

Cities near Solon, OH with the most Nvidia Machine Learning Internship job openings:

Buyer 1-3, Machining & Forging

Knorr-Bremse

Avon, OH • On-site

Full-time

Posted 15 days ago


Job description

Buyer 1-3, Machining & Forging
LOCATION: Avon / Ohio (US-OH), United States " BRAND: Bendix " REQUISITION ID: 10988 " JOB GRADE: 0
" ON-SITE/REMOTE: On-site
Want to help shape tomorrow? At Bendix, we set the standard with advanced dynamic solutions that drive improved commercial vehicle performance and safety. We're part of the Knorr-Bremse Group, the global leader in braking technologies. As part of our team, you'll collaborate with a world of talented and dedicated colleagues whose sense of purpose complements your own. You'll find rewarding opportunities, diverse experiences, partnerships, and an unwavering commitment to ethics and integrity.
Bendix Commercial Vehicle Systems LLC is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
JOB DESCRIPTION:
Position Summary:
Manage the supply base to meet the strategic objectives of Global Procurement and the needs of internal and external customers, product groups, and manufacturing in terms of quality, cost, delivery, and commercial terms. Independently manage assigned commodities and suppliers, execute sourcing strategies, lead negotiations, drive cost reduction and supplier performance improvement initiatives, and support more complex cross-functional procurement activities.
Essential Functions:
  • Develop, implement, and manage commodity strategies for assigned categories; evaluate and select suppliers, assess global sourcing opportunities, negotiate supply agreements, and support supply base rationalization.
  • Assist with supplier management activities for assigned lower-complexity commodities, with development toward independently managing selected suppliers and standard components over time.
  • Collect and analyze supplier quotations, pricing changes, delivery information, and basic cost drivers to support sourcing decisions and negotiations.
  • Coordinate with engineering, quality, operations, planning, finance, and suppliers to support part changes, supplier performance follow-up, launch readiness, and continuity of supply.
  • Support cost reduction, productivity, and supplier improvement initiatives by preparing data, tracking actions, following up on open items, and documenting savings or avoidance opportunities.
  • Learn and apply procurement processes, ERP/SAP transactions, supplier communication practices, and internal approval workflows under guidance from the category team.
  • Develop capability to manage supplier issues, escalate risks, support recovery actions, and contribute to long-term supply base strategy as experience grows.
Knowledge:
  • Foundational understanding of purchasing, supply chain, supplier management, and basic business processes, with willingness and ability to learn procurement practices quickly.
  • Basic knowledge of manufacturing environments, supplier performance measures, and quality, delivery, cost, and responsiveness expectations.
  • Developing understanding of how business, engineering, operations, manufacturing, and purchasing priorities connect.
  • Basic familiarity with ERP/MRP concepts and purchasing systems; SAP experience or exposure preferred but not required.

Experience:
  • 1-3 years of purchasing, supply chain, operations, manufacturing, engineering, or related experience; strong co-op, internship, or rotational program experience will be considered.
  • Preferred experience or exposure managing, supporting, or purchasing C-class components, including nuts, bolts, washers, labels, fasteners, or other standard components.
  • Nice to have basic exposure to stampings, machining, forgings, special components, supplier quotations, part drawings, bills of material, or manufacturing cost drivers.
  • Experience working with ERP or purchasing systems preferred; SAP exposure is a plus.
  • Exposure to quote analysis, supplier follow-up, cost reduction support, negotiation preparation, or project tracking is preferred but not required.

Skills:
  • High learning agility with a strong interest in procurement, supplier management, manufacturing, and commercial problem solving.
  • Strong attention to detail, follow-through, organization, and ability to manage multiple priorities with guidance.
  • Analytical mindset with ability to review quotes, pricing data, supplier information, part details, and basic cost drivers.
  • Effective communication skills with ability to interact professionally with suppliers and internal stakeholders across engineering, quality, operations, planning, and finance.
  • Problem-solving capability, including active listening, issue identification, data review, escalation, and timely follow-up.
  • Comfort working in a fast-paced, matrixed environment with willingness to learn global and regional procurement processes.
  • Basic negotiation awareness preferred, including preparation, data gathering, supplier communication, and support for commercial discussions.

Education:
  • Bachelor's degree required; Business, Supply Chain Management, Engineering, Operations, Manufacturing, or related field preferred.
  • Co-op, internship, or academic project experience in Purchasing, Supply Chain, Manufacturing, Engineering, or Operations is strongly preferred.

Position Requirements:
The demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
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Join us in shaping the mobility of the future!
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Nearest Major Market: Cleveland
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