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Nsa Computer Science Jobs (NOW HIRING)

... computer science, and application specific knowledge. * Through analytic modeling, statistical ... in NSA/CSS data holdings. * Translate practical mission needs and analytic questions related to ...

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Nsa Computer Science information

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$20.5K

$75.6K

$174.5K

How much do nsa computer science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for nsa computer science in the United States is $75,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What types of projects do NSA computer scientists typically work on, and how do these projects contribute to national security?

NSA computer scientists are involved in a variety of projects that range from developing advanced cryptographic algorithms to building tools for secure communications and analyzing large-scale data for intelligence purposes. These projects often have a direct impact on protecting government information systems and countering cybersecurity threats. Teamwork is essential, as computer scientists regularly collaborate with analysts, engineers, and mathematicians to solve complex technical challenges. The dynamic nature of national security work means that projects can shift rapidly, offering both intellectual stimulation and the opportunity to make a tangible difference.

What skills and qualifications are needed to thrive as an NSA computer scientist?

To thrive as an NSA Computer Scientist, you need a solid background in computer science, mathematics, and problem-solving, typically supported by at least a bachelor's degree in computer science or a related field. Familiarity with programming languages (such as Python, C++, or Java), cryptographic systems, and specialized cybersecurity tools is essential, and relevant certifications like Security+ can be advantageous. Analytical thinking, discretion, teamwork, and strong communication skills help you excel in a high-security, collaborative environment. These skills ensure you can develop secure solutions, analyze complex data, and protect national security interests effectively.

What is the difference between Nsa Computer Science vs Cybersecurity Analyst?

AspectNsa Computer ScienceCybersecurity Analyst
Required CredentialsBachelor's in Computer Science or related field; often requires security clearancesBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+
Work EnvironmentGovernment agencies, research labs, classified projectsCorporate, government, or consulting firms focusing on security threats
Employer & Industry UsagePrimarily NSA, government agencies, defense contractorsPrivate companies, government agencies, cybersecurity firms
Common Search & Comparison IntentUnderstanding NSA roles in computer scienceCybersecurity job roles and responsibilities

While both roles involve computer science skills, Nsa Computer Science focuses on research, development, and classified projects within government agencies. Cybersecurity Analysts primarily protect organizations from security threats, often working in corporate or government settings. The key differences lie in their focus areas, work environments, and required credentials.

What is an NSA computer scientist?

NSA Computer Scientists are professionals who work at the National Security Agency (NSA), specializing in designing, developing, and maintaining advanced computer systems and software. Their work involves solving complex technical challenges related to cybersecurity, cryptography, data analysis, and information assurance. NSA Computer Scientists often work on projects that protect national security by safeguarding sensitive information and developing cutting-edge technology to stay ahead of emerging threats. They collaborate with other experts in mathematics, engineering, and intelligence to provide solutions for the U.S. government.
More about Nsa Computer Science jobs
What cities are hiring for Nsa Computer Science jobs? Cities with the most Nsa Computer Science job openings:
What states have the most Nsa Computer Science jobs? States with the most job openings for Nsa Computer Science jobs include:
Infographic showing various Nsa Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $75,631 per year, or $36.4 per hour.

Computer Systems Researcher with Security Clearance

NSA

Fort George G Meade, MD โ€ข On-site

Other

Posted 3 days ago

New


Job description

NSA is in search of Computer Science professionals to solve complex problems, test innovative approaches and research new solutions to storing, manipulating, and presenting information. We are looking for you to apply your computer science expertise to projects that seek to create new standards for the transformation of information. If you want to develop technologies and tools and be a part of cutting edge innovations; join our team of experts! Help protect national security interests as part of the world's most advanced team of computer science professionals! Are you looking to apply your computer science and other technical expertise to develop technologies and tools and be a part of cutting edge innovations? Come join our team of experts! NSA is in search of Research Scientists and Senior Research Scientists to solve complex problems, test innovative approaches and research new solutions to make the U.S. and its allies safer and more secure. Help protect national security interests as part of the world's most advanced team of computer science professionals. The qualifications listed are the minimum acceptable to be considered for the position. Degree must be in Computer Science (CS) or Computer Engineering (CE). Other STEM fields (e.g., Engineering, Mathematics, or Information Systems (IS)) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Relevant experience must be in one or more of the following: computer systems research, simulation/model development and prototyping, software design, programming, computational science, algorithm analysis and design, reverse engineering, designing/developing computer or information systems, including engineering hardware or software, machine learning, artificial intelligence, visualization, human-computer interaction, data science, or high performance computing. FULL PERFORMANCE
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. SENIOR
Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience. An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Competencies
Candidates with experience in cybersecurity, computer network defense, vulnerabilities and countermeasures, software development and debugging, network protocols, and those with expertise in Artificial Intelligence and Machine Learning (AI/ML) are strongly encouraged to apply. Relevant experience in content processing, content triage, and human centered AI involving multimodal data, to include: speech, image, video or text. Seeking applicants with experience in: machine learning model research, multilingual and multimodal modeling, automatic speech recognition (ASR), large language models (LLM), agentic AI, knowledge management, ontologies, AI security, explainable AI, human AI teaming, visualization, data science, human subject research and Sensemaking analytics. Current research focus areas include: Human Language Technology (HLT), Computer Vision (CV), Natural Language Processing (NLP), Natural Language Understanding (NLU), and Human Machine Teaming HMT). Candidates with knowledge, skills and experience in high performance computing are also strongly encouraged to apply; in particular, processor and system architectures and networks, memory, tasking (accelerators, parallelism, resource management, heterogeneous computing), productivity (systems modeling & simulation, evaluation, prototyping and benchmarking), scalable algorithms, programming languages (Python, C++, Rust) and libraries, and hardware-software co-design. Candidates with knowledge and experience in future telecommunication networks (5G/6G), IoT security, device management, machine learning technologies, Linux or Windows programming and debugging, software design and development, virtualization/containers, Cloud, Trusted Computing, and other specialized computer platforms are strongly encouraged to apply. Desired Skills: Applicants should have excellent problem-solving, communication, and interpersonal skills, and possess a range of knowledge and experience in at least two of the following areas: - Programming (low level, high level, parallel)
- Artificial Intelligence and Machine Learning
- Foundation models (FMs) (Large Language Models (LLMs), as well as models for other modalities)
- Simulation/model development and prototyping
- Software engineering
- Hardware engineering
- Architectures and Distributed Computing
- Algorithm analysis and design
- Reverse engineering
- Operating systems and/or device driver development (desktop/server/RTOS)
- Cybersecurity/Computer Network Defense
- Trustworthy systems
- Computer and network security
- Telecommunication systems Pay, Benefits, & Work Schedule
Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.