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Internship Linear Programming Jobs in California

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

Quantum architecture internships offer a chance to work in cutting edge research to move quantum ... Topics can include theory and modelling of linear optical networks, fusion-based quantum computing ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Demonstrated research/software engineering experience: through previous internships, work ... Strong quantitative background and coursework in or working knowledge of linear algebra, calculus ...

Demonstrated research/software engineering experience: through previous internships, work ... Strong quantitative background and coursework in or working knowledge of linear algebra, calculus ...

Demonstrated research/software engineering experience: through previous internships, work ... Strong quantitative background and coursework in or working knowledge of linear algebra, calculus ...

Showing results 21-40

Internship Linear Programming information

What is an internship in linear programming?

An Internship in Linear Programming gives students or recent graduates hands-on experience solving optimization problems using mathematical modeling techniques. Interns typically work with experienced data scientists or operations researchers to develop and implement algorithms that maximize or minimize certain objectives, such as cost, time, or resource allocation. The internship may involve using software tools like MATLAB, Python, or specialized optimization packages, and offers practical exposure to real-world problems in industries like logistics, finance, or engineering.

What types of projects can I expect to work on during an internship focused on linear programming?

As an intern specializing in linear programming, you will likely support projects that involve optimizing processes, resource allocation, or scheduling using mathematical models. Typical tasks may include data collection, formulating linear programming problems, running optimization software, and interpreting results to provide actionable recommendations. You'll often collaborate with data analysts, engineers, or operations teams to tackle real-world business challenges and may have the opportunity to present your findings to stakeholders. This hands-on experience helps build both technical and teamwork skills essential for a future career in operations research or analytics.

What are the key skills and qualifications needed to thrive as an internship in linear programming, and why are they important?

To excel in an Internship Linear Programming role, you need a solid understanding of linear algebra, optimization techniques, and mathematical modeling, often supported by coursework in operations research or applied mathematics. Familiarity with programming languages such as Python, MATLAB, or R, as well as optimization tools like CPLEX or Gurobi, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with teams. These competencies are crucial for translating complex data into actionable solutions and supporting decision-making processes in real-world business or research environments.

What is the difference between Internship Linear Programming vs Data Analyst Intern?

AspectInternship Linear ProgrammingData Analyst Intern
Required SkillsMathematics, optimization, programmingData analysis, statistics, Excel, SQL
Work EnvironmentTech, consulting, financeBusiness, tech, marketing
Common Employer TypesConsulting firms, tech companiesCorporations, market research firms

Internship Linear Programming focuses on optimization techniques and mathematical modeling, often in technical or consulting settings. Data Analyst Internships emphasize data interpretation, visualization, and statistical analysis. While both roles involve data and problem-solving, they differ in skill sets and industry applications, with Linear Programming internships leaning toward mathematical modeling and Data Analyst internships toward data-driven decision making.

What careers use internship linear programming?

Internship experience in linear programming is valuable in careers such as operations research analyst, supply chain analyst, data analyst, and optimization engineer. These roles involve applying mathematical models and algorithms to improve decision-making, often using tools like MATLAB, R, or Python. Strong analytical skills and knowledge of optimization techniques are essential in these fields.

What are popular job titles related to Internship Linear Programming jobs in California?

For Internship Linear Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Linear Programming jobs in California look for?

The top searched job categories for Internship Linear Programming jobs in California are:

What cities in California are hiring for Internship Linear Programming jobs?

Cities in California with the most Internship Linear Programming job openings:

Infographic showing various Internship Linear Programming job openings in California as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.

NVIDIA 2027 Internships: Software Engineering

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 25 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

By submitting your resume, you acknowledge that your 2027 Software Engineering internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.


NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

Potential Internships in this field include:

Development Tools

  • Debugging complex system-level issues using Jenkins
  • Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization

Cloud

  • Supporting overall architecture and design of our cloud storage infrastructure
  • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
  • Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging

Tools Infrastructure

  • Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
  • Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
  • Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Machine Learning Operations

  • Deep Learning, GPU Computing, Accelerated Computing
  • Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN)
  • Data Preprocessing, Training Acceleration (CUDA, cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT)
  • Building Infrastructure for Back-End Analytics

What we need to see:

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Java, JavaScript, (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Internbenefits.

Applications are accepted on an ongoing basis.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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