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Theoretical Computer Science Internship Jobs in Silver Spring, MD

Varsity Tutors

College Computer Science Tutor

Laurel, MD · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Bowie, MD · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

SW Complete

Cryptologic Computer Scientist

Columbia, MD · On-site

Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) are ...

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Theoretical Computer Science Internship information

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How much do theoretical computer science internship jobs pay per hour?

As of May 31, 2026, the average hourly pay for theoretical computer science internship in Silver Spring, MD is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Theoretical Computer Science Intern, and why are they important?

To thrive as a Theoretical Computer Science Intern, you need a strong background in mathematics, algorithms, and discrete structures, often supported by coursework in computer science or mathematics. Familiarity with programming languages (such as Python or C++), LaTeX for documentation, and version control systems like Git is typically expected. Analytical thinking, problem-solving, and effective written communication are standout soft skills for this role. These skills are crucial for tackling complex theoretical problems, collaborating on research, and clearly presenting findings in both academic and professional environments.

What types of projects do interns typically work on during a Theoretical Computer Science Internship?

During a Theoretical Computer Science Internship, interns often work on projects involving algorithm design, computational complexity, graph theory, or cryptography. These projects may include analyzing and improving existing algorithms, developing proofs of concept, or researching open problems under the guidance of senior researchers. Interns usually collaborate closely with other interns and full-time researchers, participate in regular group meetings, and are encouraged to present their findings. The work is generally research-oriented and may involve reading academic papers, writing reports, and sometimes contributing to publications.

What is a Theoretical Computer Science Internship?

A Theoretical Computer Science Internship is a temporary position, typically for students or recent graduates, focused on research and problem-solving within the foundational areas of computer science. Interns in this role explore topics such as algorithms, computational complexity, cryptography, and formal methods. They often work on mathematical proofs, theoretical models, or simulations under the guidance of experienced researchers or faculty. The internship provides valuable experience in academic research, logical reasoning, and advanced problem-solving, preparing participants for further study or research-oriented careers.

What is the difference between Theoretical Computer Science Internship vs Data Science Internship?

AspectTheoretical Computer Science InternshipData Science Internship
Required CredentialsTypically requires computer science or related degrees, strong math backgroundRequires statistics, programming, and data analysis skills
Work EnvironmentResearch labs, academic settings, tech companies focusing on algorithms and theoryBusiness, tech companies, analytics firms working on data modeling and insights
Industry UsageAcademic research, R&D departments, tech industryBusiness analytics, marketing, finance, tech industry

Theoretical Computer Science Internships focus on algorithm development, computational theory, and mathematical foundations, often in research or academic settings. Data Science Internships emphasize data analysis, machine learning, and practical application of statistical methods in business or tech environments. While both require strong programming skills, their core focus and industry applications differ significantly.

What are popular job titles related to Theoretical Computer Science Internship jobs in Silver Spring, MD? For Theoretical Computer Science Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Theoretical Computer Science Internship jobs in Silver Spring, MD look for? The top searched job categories for Theoretical Computer Science Internship jobs in Silver Spring, MD are:
Theoretical Computer Science Internship jobs near you

Cryptologic Computer Scientist 3 with Security Clearance

Gormat

Annapolis Junction, MD • Hybrid

Other

Posted 14 days ago

Job description

Gormat is searching for a Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark/PySpark, and you will need to have a strong network and protocol analysis background and familiarity with customer tools.

The Level 3 Cryptologic Computer Scientist shall possess the following capabilities: * Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. * The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support. * Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).

* Need a hybrid computer scientist/cyber threat analyst. Requires experience with python, spark, and comfortability working in larger scale data. Candidate must have a strong network and protocol analysis background, familiarity with the customer tools will be beneficial.

Ideally, the candidate will be inquisitive and have a discovery focused mindset. Qualifications: * Doctoral degree plus 4 years of relevant experience. * Master's degree with 6 years of relevant experience.

* Bachelor's Degree with 8 years of relevant experience. * Associates degree with 10 years of relevant experience. * Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above).

* Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software.

* Strong Python, Spark/PySpark skills. * Strong Network and Protocol Analysis background. * Familiarity with customer tools.

TS/SCI with polygraph is required.

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