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Theoretical Computer Science Jobs (NOW HIRING)

... theoretical computer science, machine learning, use of machine learning for enhancing mathematical discovery and formal verification; help set the project's research direction, lead several of the ...

Cryptologic Computer Scientist

Odenton, MD · On-site

$107.90 - $195.05/hr

Design, develop, deploy, and sustain solutions to complex cryptologic computer science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory, computer ...

New

Design, develop, deploy, and sustain solutions to complex cryptologic computer science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory, computer ...

Design, develop, deploy, and sustain solutions to complex cryptologic computer science problems. * Apply expertise in areas such as operating systems, algorithms, compiler theory, computer ...

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theoretical computer science information

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$126.6K

$171K

How much do theoretical computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for theoretical computer science in the United States is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a theoretical computer science?

A Theoretical Computer Science job focuses on studying the fundamental principles of computation, algorithms, complexity, and mathematical models of computing. Professionals in this field work on problems related to computational efficiency, cryptography, machine learning theory, and formal methods. They often conduct research in academia, develop new algorithms, or contribute to cutting-edge technology in industry. These roles typically require strong mathematical skills and expertise in logic, discrete mathematics, and algorithm design.

What are typical responsibilities for someone working in theoretical computer science?

Theoretical Computer Science professionals often spend their days conducting original research, developing new algorithms, and analyzing computational problems from a mathematical perspective. They may collaborate closely with other researchers in interdisciplinary teams, attend academic conferences, and contribute to scholarly publications. While much of the work is individual and highly focused, regular interaction with collaborators and the broader academic community is common. This role can also involve mentoring students and engaging in peer review, making it both intellectually stimulating and highly collaborative.

What are the key skills and qualifications needed to thrive in theoretical computer science, and why are they important?

To thrive in Theoretical Computer Science, a strong background in mathematics, algorithms, and computational theory is essential, usually backed by an advanced degree such as a master's or PhD in computer science or a related field. Familiarity with formal verification tools, mathematical modeling software, and programming languages like Python or C++ is often required. Critical thinking, analytical reasoning, and effective written communication are standout soft skills for this role. These competencies are vital for developing rigorous proofs, articulating complex concepts, and contributing meaningful insights to the field.

Is theoretical computer science useful?

Theoretical computer science is useful for understanding fundamental principles of algorithms, computation, and data structures, which underpin many practical applications in software development, cryptography, and artificial intelligence. It provides a strong foundation for roles involving research, algorithm design, and advanced problem-solving, often requiring skills in mathematics and programming languages. This knowledge can lead to careers in academia, industry research, and technology innovation.

What jobs can you do with theoretical computer science?

Theoretical computer science graduates can pursue roles such as research scientists, algorithms engineers, cryptographers, and data scientists. These positions often require strong analytical skills, programming knowledge, and understanding of computational complexity and algorithms. They are commonly found in academia, technology companies, cybersecurity firms, and research institutions.
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What cities are hiring for Theoretical Computer Science jobs?

Cities with the most Theoretical Computer Science job openings:

What are the most commonly searched types of Theoretical Computer Science jobs?

The most popular types of Theoretical Computer Science jobs are:

What states have the most Theoretical Computer Science jobs?

States with the most job openings for Theoretical Computer Science jobs include:

Infographic showing various Theoretical Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $126,612 per year, or $60.9 per hour.

Full-time

Re-posted 17 days ago


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

45th of 620 rated colleges and universities


Job description

Job Summary:
Massachusetts Institute of Technology is seeking a Research Scientist 3 to lead a research program on Provable AI Safety through Self-Proving Models. The role involves advancing AI safety research by building theoretical foundations and practical implementations of AI systems, supervising PhD students, and publishing research findings.
Responsibilities:
• lead a research program on Provable AI Safety through Self-Proving Models
• advance AI safety research by building both the theoretical foundations and the practical implementation of AI systems that prove the correctness of their own outputs
• serve as a key member of a research team spanning theoretical computer science, machine learning, use of machine learning for enhancing mathematical discovery and formal verification
• help set the project's research direction
• lead several of the program's parallel research tracks
• supervise PhD students
• publish their research and work
Qualifications:
Required:
• Ph.D. in Computer Science, Mathematics, or a closely related field
• a track record of independent research contributions in theoretical computer science, machine learning, and/or formal verification, including foundational work on the Self-Proving Models framework that underlies this program
• demonstrated expertise in interactive proof systems, computational complexity, and machine learning techniques applied to language models
• excellent leadership experience and project management skills
• strong supervisory skills and experience mentoring graduate students across theoretical and applied work
• experience leading or contributing to cross-institutional research collaborations
• outstanding interpersonal and relationship management skills to relate to a wide diversity of faculty, staff, students, and external stakeholders, including funders and policy audiences
• ability to handle confidential information and sponsored research compliance matters with discretion and judgment
• proven written and verbal communication and presentation skills, including the ability to publish in top-tier venues in theoretical computer science, machine learning, and AI safety, and to present research to both technical and policy audiences
• flexibility and availability to attend occasional evening, weekend, and international meetings, including with UK and European collaborators, and to travel for conferences and collaboration visits as the program requires
Company:
Massachusetts Institute of Technology provides higher education, academic research, digital learning, and technology licensing programs. Founded in 1861, the company is headquartered in Cambridge, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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