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Nvidia Machine Learning Internship Jobs in Houston, TX

The internship offers a Commercial orientation, an exciting project assignment, and multiple opportunities to work with our Commercial management team. The internship will culminate with a ...

Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ... Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ...

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Nvidia Machine Learning Internship information

See Houston, TX salary details

$24.4K

$40.7K

$84K

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

As of Aug 20, 2026, the average yearly pay for nvidia machine learning internship in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Nvidia Machine Learning jobs in Houston, TX?

The most popular types of Nvidia Machine Learning jobs in Houston, TX are:

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

The top searched job categories for Nvidia Machine Learning Internship jobs in Houston, TX are:

What cities near Houston, TX are hiring for Nvidia Machine Learning Internship jobs?

Cities near Houston, TX with the most Nvidia Machine Learning Internship job openings:

Enterprise Operations Engineering Internship

Hewlett Packard Enterprise

Spring, TX • On-site

$13 - $17/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 159 rated electronics manufacturers


Job description

Enterprise Operations Engineering Internship Description - The following posting is a pipeline requisition, meant to accumulate candidates for 2026 Summer Internships. Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc. This opportunity is intended for conversion to a full‑time role that will not offer work authorization sponsorship in the future (full‑time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).

About Us

About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

The Program

The Program: Our future success depends on the innovation and fresh ideas students bring to HP, Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Team

The Team: HP’s Enterprise Operations Organization is at the heart of the world’s most sustainable and just technology companies. As a Enterprise Operations Intern, you will have the opportunity to gain hands‑on experience in various aspects of the supply chain, while applying the Supply Chain Operations Reference (SCOR) model to optimize our processes. The Internship will provide valuable exposure to real-world supply chain management and enhance your understanding of end-to-end supply chain operations. Interns will also be afforded the opportunity to develop and grow a professional network and interact with other Interns across the enterprise through structured learning and development training activities and community service experiences. Internships will be available for students who are in Engineering degree programs. Positions available will include assignments and tasks in the areas of Sourcing, Logistics, Planning, Materials/Inventory Management, Manufacturing Operations, Sustainability, Digital Transformation, Returns and Order Fulfillment. Tasks and assignments will vary with each Intern. Areas of Skill Environmental Engineering Software development, automation, and data visualization (Power BI) Sustainability (sustainable materials, greenhouse gas emissions, life cycle assessment, energy analysis) Project management AI and data management Desk research Microsoft Office Understanding of IT processes Passion for sustainability (climate, social impact, circularity) Industrial Engineering Power BI and data analytics Process improvement and Lean principles Root cause analysis Operations research and optimization Linear programming and mathematical modeling Supply chain and logistics Inventory and demand planning Manufacturing systems Continuous improvement Microsoft Office Systems Engineering Performance and quality data analytics Dashboard and KPI development Systems integration and process optimization Computer hardware and software knowledge Python, Power BI, SQL, and data visualization AI and machine learning Technical documentation and cross-functional communication Operations Research Mathematical optimization Linear and integer programming Simulation and modeling Forecasting and predictive analytics Network optimization Statistical analysis Python, R, SQL, and Power BI Decision support and data-driven problem solving Supply Chain Engineering Supply chain planning Logistics and distribution Inventory optimization Demand forecasting Transportation and warehouse operations ERP systems (SAP, Oracle) Data analytics and reporting Continuous improvement Cross-functional collaboration Manufacturing Engineering Lean manufacturing Production planning Process optimization Quality systems Automation Six Sigma Statistical process control (SPC) Manufacturing analytics

Intern Responsibility/Project Examples
  • Assist in analyzing and mapping our current supply chain processes using the SCOR model framework
  • Identify areas for improvement and propose recommendations to enhance efficiency, reduce costs, and increase customer satisfaction in the Sourcing and Logistics areas.
  • Collaborate with cross‑functional teams, including planning, procurement, production, logistics, returns, customer service, and operations to gather data and insights for process optimization
  • Support the implementation of supply chain improvement initiatives, such as inventory management, demand planning, and order fulfillment
  • Conduct research on industry best practices and emerging trends in supply chain management to contribute to continuous improvement efforts
  • Assist in data collection, analysis, and reporting to measure key performance indicators (KPIs) and track the progress of supply chain initiatives.
  • Review and analyze whether or not new supply chain concepts that support an Integrated Supply Chain should be adopted by HP (i.e., JIS---Just In Sequence)
  • Participate in meetings, workshops, and training sessions related to supply chain management and process improvement
  • Conducting a sourcing market research to determine possible new innovative products or categories for introduction into HP’s products
  • Designing a sustainability initiative independent or in conjunction with other business function, i.e., Packaging suppliers, Logistics/Transportations suppliers
  • Identifying and implementing new, innovative quality control processes and procedures for component suppliers
  • Conduct market research to propose and implement potential new technologies leading for supply chain optimization
  • Apply analytics to develop data-driven solutions and financial/operational models to complex problems
Education and Experience Required

Education and Experience Required: 3rd Year of Bachelor's degree completed or 1st year of Master's program completed.--typically a technical degree specialization. Must be enrolled full time at an accredited university. Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future. Strong analytical and problem-solving skills, with the ability to apply the SCOR model to identify process gaps and propose solutions Proficient in Microsoft Excel, PowerPoint and Teams and Sharepoint Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross‑functional teams Detail-oriented and organized, with the ability to manage multiple tasks and meet deadlines Ability to work successfully in a volatile, uncertain, complex and ambiguous (VUCA) environment A minimum cumulative GPA of 3.0 on a 4.0 scale

Preferred Majors/Programs

Preferred Majors/Programs: Industrial Engineering, Mechanical Engineering, Data Analytics, Data Sciences and Computer Science, Manufacturing, Supply Chain Engineering

Preferred Knowledge and Skills

Preferred Knowledge and Skills: Advanced knowledge of Microsoft PowerBI, SQL and Access database a plus Knowledge of programming languages such as Python or others a plus Strong knowledge of Microsoft Knowledge of statistical analysis, and financial modeling Advanced knowledge of Microsoft Excel with experience in creating Pivot tables, VLOOKUP, macros Strong business acumen and technical knowledge within area of responsibility. Knowledge with programming languages (Python, other) Ability to work in virtual teams Be an agent of Management of Change Previous internships in a Supply Chain related function

Pay Information

The pay range for this position is $29 to $35 per hour (applies to US candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
  • 13 paid holidays
  • 15 days paid time off (US benefits overview)
Hours and Availability

Available hours are pro-rated based on hire date and scheduled hours

Equal Opportunity

HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

Explore HP #LI-POST Job - Administration Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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