Research Scientist - Maryland, United States - National Security Agency (NSA)

National Security Agency (NSA) Maryland, United States

2 weeks ago

Description

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.
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.
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

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction , Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.
Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position.
A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. **Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from For job vacancies that include stated testing requirements, also include the following: , , and **
U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. NSA is also committed to the promotion of diversity within its workforce. All applicants and employees are subject to random drug testing in accordance with Executive Order Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. Please visit our Diversity link for more information
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.
Salary Range: $102,477- $191,900 (Full Performance, Senior, Expert)
Salary range varies by location, work level, and relevant experience to the position.
On the job training, internal NSA courses, and external training will be made available based on the need and experience of the selectee.
Benefits: NSA offers excellent benefits to include relocation assistance, flexible work schedules, generous leave programs, paid personal fitness time, training and continuing education classes, health and life insurance, Federal Thrift Savings Plan (TSP), and a Federal retirement plan.
Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

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 multimodal data, to include: speech, image, video or text processing and/or data science, applied machine learning or artificial intelligence across the disciplines of Human Language Technology (HLT), Computer Vision (CV), Natural Language Processing (NLP) and Natural Language Understanding (NLU). Additionally, applicants with experience in visualization, data analysis, machine learning model research, development, and evaluation, data engineering, multilingual and multimodal modeling, automatic speech recognition (ASR) or language modeling, large language models (LLM) or related topics are especially encouraged to apply.
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 and libraries, and hardware-software co-design.

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