1

Quantum Space Internship Jobs (NOW HIRING)

next page

Showing results 1-20

Quantum Space Internship information

See salary details

$9

$17

$23

How much do quantum space internship jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for quantum space internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a Quantum Space Internship?

A Quantum Space Internship is a temporary position, often aimed at students or recent graduates, that offers hands-on experience in the field of quantum technologies as they relate to space exploration and research. Interns typically work with experts on projects involving quantum computing, quantum communications, or quantum sensors for space applications. The internship provides valuable exposure to cutting-edge research and may include tasks such as data analysis, simulation, programming, or experimental work. Interns gain insight into the intersection of quantum science and aerospace, helping to prepare them for future careers in these rapidly evolving fields.

What is the difference between Quantum Space Internship vs Quantum Computing Intern?

AspectQuantum Space InternshipQuantum Computing Intern
Required CredentialsUndergraduate or graduate in physics, engineering, or related fieldsSimilar educational background, often with coursework in quantum mechanics
Work EnvironmentResearch labs, aerospace companies, tech firms focusing on space and quantum techResearch labs, tech companies, startups working on quantum algorithms and hardware
Employer & Industry UsageSpace agencies, aerospace firms, quantum tech companiesTech firms, research institutions, startups in quantum computing
Common Search & ComparisonYesYes

The Quantum Space Internship typically focuses on applying quantum technologies to space-related projects, often within aerospace or research organizations. In contrast, a Quantum Computing Intern concentrates on developing and testing quantum algorithms and hardware within tech or research companies. Both roles require similar educational backgrounds and are often found in overlapping industries, but their specific focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a Quantum Space Intern, and why are they important?

To thrive as a Quantum Space Intern, you generally need a background in physics, engineering, computer science, or a related STEM field, often supported by ongoing university studies or relevant coursework. Familiarity with programming languages (such as Python or MATLAB), simulation software, and data analysis tools is typically expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively with multidisciplinary teams are crucial soft skills. These competencies enable interns to contribute meaningfully to cutting-edge research and innovation in the rapidly evolving field of quantum technologies and space exploration.

What types of projects do interns typically work on during a Quantum Space Internship?

Interns in a Quantum Space Internship often contribute to cutting-edge research and development projects, such as quantum computing simulations, data analysis for satellite missions, or supporting the development of quantum communication protocols. You may work alongside experienced scientists and engineers, gaining hands-on experience with advanced equipment and software. Collaboration is common, so interns often participate in team meetings and cross-functional projects, offering exposure to both technical and operational aspects of quantum space initiatives.
Machine Learning Physics Graduate Student

Machine Learning Physics Graduate Student

LLNL

Livermore, CA • On-site

$6K - $8K/mo

Internship

Retirement

Posted 13 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical research experience to further their educational goals. You will work on multidisciplinary projects, such as development of classical empirical and machine learning interatomic potentials, discovery of partial differential equations (PDEs), numerical solutions of partial differential equations to model material behavior at continuum scale and analysis of large atomic datasets. These positions are in in the Equation of State Materials Theory Group of the Physics Division of the Physical & Life Sciences Directorate.
This position requires full-time on-site presence due to the nature of the work.
You will
  • Develop parallel C/C++/Python codes to train, test and evolve (a) PDEs (for phase field and phase field crystal models) discovered from data, and (b) interatomic potentials developed from quantum simulations.
  • Explore the use of machine learning methods to discover and evolve PDEs for phase field and phase field crystal models.
  • Analyze results, provide weekly updates and present work at poster sessions
  • Review literature in the field of study, document results and write papers.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Continuing student in good standing at an accredited institution of higher education pursuing a graduate degree in Physics or related field.
  • Research background with a record of publication.
  • Experience in writing codes (in C/C++ and Python) and a background in Materials Science/Engineering/Physics/Applied Mathematics.
  • Excellent skills in written and verbal communication, as well as teamwork.

Qualifications We Desire
  • Experience in parallel computing, porting codes to GPUs, experience in numerical solutions of partial differential equations.

Pay Range
$6,752 - $8,201 Monthly
This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year.
Additional Information
#LI-Onsite
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required.However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .