1

Internship Mathematical Optimization Jobs (NOW HIRING)

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others ... optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others ... optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral ...

next page

Showing results 1-20

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 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 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 as an Internship Mathematical Optimization, and why are they important?

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.
More about Internship Mathematical Optimization jobs
What cities are hiring for Internship Mathematical Optimization jobs? Cities with the most Internship Mathematical Optimization job openings:
What are the most commonly searched types of Mathematical Optimization jobs? The most popular types of Mathematical Optimization jobs are:
What states have the most Internship Mathematical Optimization jobs? States with the most job openings for Internship Mathematical Optimization jobs include:
What job categories do people searching Internship Mathematical Optimization jobs look for? The top searched job categories for Internship Mathematical Optimization jobs are:
Infographic showing various Internship Mathematical Optimization job openings in the United States as of June 2026, with employment types broken down into 61% Full Time, 38% Part Time, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Internship - Photonics Design

Other

Posted 26 days ago


Job description

About QuEra Computing, Inc.

QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonic Engineer Intern to help build the AI-driven design pipelines that will accelerate next-generation PIC development. You will explore state-of-the-art optimization workflows, directly improving how quickly our engineers can iterate and tape out novel photonic components for large-scale neutral-atom quantum computers.

Responsibilities

  • AI-Powered Photonics Design: Explore and build AI-driven photonics design and optimization pipelines to accelerate the component design.
  • Design for Manufacturing: Incorporate Design of Experiments (DoE) and Design for Manufacturing (DfM) principles into PIC design to improve yield and process robustness across multiple foundries.
  • Cross-functional Collaboration: Partner with photonics engineers and systems teams to align PIC designs with the requirements of neutral-atom quantum computer integration.

Qualifications

  • Pursuing or recently completed a degree in computer science, physics, mathematics, or a related field.
  • Strong programming skills in using Python and AI tools.
  • Proficient with PIC development tools and advanced optimization algorithms for PIC design.
  • Strong understanding of PIC fundamental physics and foundry processes.
  • Experience incorporating Design of Experiments (DoE) and Design for Manufacturing (DfM) into PIC design.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.  
  • Strong evidence of independent work.  

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.