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Internship Mathematical Optimization Jobs in California

Crowe LLP

Machine Learning Intern

San Francisco, CA

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... Mathematics Natural or Social Sciences Relevant additional backgrounds also considered Essential ...

Crowe LLP

Machine Learning Intern

Costa Mesa, CA · On-site

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... Mathematics Natural or Social Sciences Relevant additional backgrounds also considered Essential ...

Crowe LLP

Machine Learning Intern

Los Angeles, CA

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... Mathematics Natural or Social Sciences Relevant additional backgrounds also considered Essential ...

Crowe LLP

Machine Learning Intern

San Jose, CA · On-site

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... Mathematics Natural or Social Sciences Relevant additional backgrounds also considered Essential ...

Crowe LLP

Machine Learning Intern

Sacramento, CA

$27 - $42/hr

... an internship: Anomaly detection using deep neural networks Numerical optimization applied to ... Mathematics Natural or Social Sciences Relevant additional backgrounds also considered Essential ...

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Internship Mathematical Optimization information

What is an internship in mathematical optimization?

An Internship in Mathematical Optimization is a temporary position for students or recent graduates to gain practical experience applying mathematical techniques to solve optimization problems. These internships typically involve tasks such as modeling real-world scenarios, developing algorithms, and using software tools to find optimal solutions in areas like logistics, finance, or engineering. Interns often work with experienced professionals, contributing to research projects or business applications while building their technical skills. The role usually requires a solid foundation in mathematics, programming, and analytical thinking.

What types of projects can I expect to work on during an internship in mathematical optimization?

As an intern in Mathematical Optimization, you will typically work on real-world problems that involve designing, implementing, and testing optimization algorithms. Projects may include tasks such as modeling supply chain logistics, scheduling operations, or improving resource allocation for various industries. You'll likely collaborate with data scientists, engineers, and other interns to collect data, build models, and present findings. This hands-on experience helps you develop both technical and teamwork skills, and often includes mentorship from senior optimization experts.

What are the key skills and qualifications needed to thrive in an internship in mathematical optimization?

To thrive in an Internship in Mathematical Optimization, you need a solid background in mathematics, particularly in optimization theory, linear algebra, and programming, usually supported by ongoing or completed studies in applied mathematics, engineering, or a related field. Familiarity with optimization software (like Gurobi or CPLEX), programming languages such as Python or MATLAB, and experience with relevant libraries or frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when solving complex problems and collaborating with teams. These skills are crucial for developing efficient optimization solutions and contributing meaningfully to research or industry projects.

What is the difference between Internship Mathematical Optimization vs Data Analyst Intern?

AspectInternship Mathematical OptimizationData Analyst Intern
Required CredentialsBasic knowledge of optimization, programming skillsStatistics, data analysis, programming
Work EnvironmentResearch, algorithm development, modelingData collection, reporting, visualization
Industry UsageOperations research, logistics, supply chainBusiness, marketing, finance

Internship Mathematical Optimization focuses on developing and applying algorithms to optimize processes, often in logistics or operations research. Data Analyst Interns analyze and interpret data to support business decisions. While both roles involve data and programming, optimization internships emphasize mathematical modeling, whereas data analysis internships focus on data interpretation and visualization.

What are the most commonly searched types of Mathematical Optimization jobs in California?

The most popular types of Mathematical Optimization jobs in California are:

What are popular job titles related to Internship Mathematical Optimization jobs in California?

For Internship Mathematical Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Mathematical Optimization jobs in California look for?

The top searched job categories for Internship Mathematical Optimization jobs in California are:

What cities in California are hiring for Internship Mathematical Optimization jobs?

Cities in California with the most Internship Mathematical Optimization job openings:

Internship Mathematical Optimization jobs near you
Infographic showing various Internship Mathematical Optimization job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

PhD Software Engineering Intern, Decision Intelligence - Fall 2026

Nvidia

Santa Clara, CA • On-site

Full-time, Internship

Re-posted 17 days ago

Key responsibilities

  • Prototype and develop parallel algorithms for decision optimization problems.

  • Perform performance tuning, optimization, and benchmarking of large-scale parallel numerical software.

  • Collaborate with team members to understand software use cases and requirements.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. Are you passionate about decision optimization, genAI, and advanced parallel computing techniques. NVIDIA's cuOpt team is at the forefront of redefining decision-making systems with a GPU-accelerated open-source platform.

If you are looking for a place where you can apply your outstanding skills and make a meaningful impact, this is the opportunity for you. Join us to help build the future of decision intelligence. What you'll be doing: Prototype and develop parallel algorithms for decision optimization problems Performance tuning, optimization, and benchmarking of large-scale parallel numerical software Collaborate with team members to understand software use cases and requirements What we need to see: Pursuing a PhD degree in Computer Science or a related field Excellent parallel C++ programming, with familiarity in CUDA programming Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization Mathematical programming (linear, quadratic, mixed-integer) and/or fundamentals of heuristics like genetic algorithms and large neighborhood search Ability to work independently and lead your own development effort Ways to stand out from the crowd: Experience in algorithmic discovery via autoresearch agents and automated code evolution Track record of relevant open-source contributions in optimization, machine learning, or GPU programming Understanding of hardware and system architecture, including CPU/GPU/Memory/Storage, and everything related to performance optimization Proficiency in a scripting language, preferably Python Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 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 30 USD - 94 USD. You will also be eligible for Intern benefits

Applications for this job will be accepted at least until May 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

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