Research Scientist / Computer Systems Researcher - Mid to Expert Level (Maryland)
CNSS • National Security Systems
•
Fort Meade, MD
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0
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Not Applicable
Posted March 28, 2026
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Responsibilities
Commitments
Responsibilities
- The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
- As a Research Scientist, Other Responsibilities May Include
- Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
- Training, testing, and deploying machine learning models
- Applying software engineering principles to design and/or develop software applications
- Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
- Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
- Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
- Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
- Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
- Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
- Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
- Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
- Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
Commitments
Please upload a copy of your transcripts from all schools attended, prior to applying for this position.
Unofficial transcripts are fine at this stage.
Not Met Priorities
What still needs stronger evidence
Requirements
- 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.
- 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
- 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.
- NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
- The ideal candidate must be able to demonstrate sound judgement, strong technical skills and the ability to work effectively in a dynamic team environment, as well as independently.
- The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
- As a Research Scientist, Other Responsibilities May Include
- Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
- Training, testing, and deploying machine learning models
- Applying software engineering principles to design and/or develop software applications
- Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
- Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
- Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
- Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
- Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
- Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
- Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
- Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
- Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
- Please upload a copy of your transcripts from all schools attended, prior to applying for this position.
- Unofficial transcripts are fine at this stage.
- Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.** 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.
- 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)
- Architectures and Distributed Computing
- Algorithm analysis and design
- Operating systems and/or device driver development (desktop/server/RTOS)
Preferred Skills
- Excellent oral and written communication skills, and a proven track record of analyzing and solving technical problems with innovative solutions are also preferred.
- The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
- Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
- Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
- Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
- Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
- 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.
- 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
Education
- (Not required) – Degree must be in Computer Science (CS) or Computer Engineering (CE).
- (Required) – 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).
- (Not required) – FULL PERFORMANCE
- (Not required) – 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.
- (Not required) – 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.
- (Not required) – SENIOR
- (Not required) – 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.
- (Not required) – 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.
- (Not required) – Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience.
- (Not required) – An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- (Required) – Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.** 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.
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.
EXPERT
Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics. Our experts generalize mission problems, advance the scientific state-of-the-art to solve problems, and work with other NSA organizations to get solutions in front of mission users and decision-makers.
Our researchers also have the opportunity to collaborate regularly with the scientific community, academia, industry, and other government laboratories; publish papers on unclassified aspects of our work in scientific journals and at conferences; transfer NSA technology to the marketplace through open source software releases and public-private partnerships; serve as faculty members at local universities; and participate in university and K-12 STEM outreach activities across the country.
The ideal candidate must be able to demonstrate sound judgement, strong technical skills and the ability to work effectively in a dynamic team environment, as well as independently. Excellent oral and written communication skills, and a proven track record of analyzing and solving technical problems with innovative solutions are also preferred. The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
As a Research Scientist, Other Responsibilities May Include
Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
Training, testing, and deploying machine learning models
Applying software engineering principles to design and/or develop software applications
Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
Please upload a copy of your transcripts from all schools attended, prior to applying for this position. Unofficial transcripts are fine at this stage. Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.** 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
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.
EXPERT
Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience. An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics. Our experts generalize mission problems, advance the scientific state-of-the-art to solve problems, and work with other NSA organizations to get solutions in front of mission users and decision-makers.
Our researchers also have the opportunity to collaborate regularly with the scientific community, academia, industry, and other government laboratories; publish papers on unclassified aspects of our work in scientific journals and at conferences; transfer NSA technology to the marketplace through open source software releases and public-private partnerships; serve as faculty members at local universities; and participate in university and K-12 STEM outreach activities across the country.
The ideal candidate must be able to demonstrate sound judgement, strong technical skills and the ability to work effectively in a dynamic team environment, as well as independently. Excellent oral and written communication skills, and a proven track record of analyzing and solving technical problems with innovative solutions are also preferred. The candidate should have demonstrated success in conducting Computer Science research to include turning research ideas into running prototype-grade systems.
As a Research Scientist, Other Responsibilities May Include
Conducting scientific experiments, documenting results, and communicating with colleagues, customers, and decision makers
Training, testing, and deploying machine learning models
Applying software engineering principles to design and/or develop software applications
Designing and optimizing algorithms, data structures, modeling, and analytics to solve real-world scientific problems
Using principles, techniques, procedures, and tools to architect and facilitate the development of hardware solutions
Developing methods and applications for tools to exploit and analyze computer systems and network vulnerabilities
Modeling, simulating, prototyping, and/or benchmarking high performance computing systems.
Developing and implementing approaches to increase the productivity and/or efficiency of high performance computers
Investigating and validating the security properties claimed by confidential computing mechanisms and architectures
Advancing the understanding and capabilities for flexible, layered integrity measurement and attestation architectures and mechanisms
Research, design, and prototype novel approaches to operating system, hypervisor, or firmware security
Applying machine learning models to perform enhanced monitoring and anomaly detection on embedded systems' network communications to include IoT devices using Bluetooth and other wireless IoT protocols
Please upload a copy of your transcripts from all schools attended, prior to applying for this position. Unofficial transcripts are fine at this stage. Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.** 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