3 software engineer jobs found in Fort Meade

Responsibilities: NSA is seeking experienced Software Engineers to advance high-impact systems and teams. Tools and technologies used evolve quickly, with systems and responsibilities spanning the full spectrum. Common tools and areas of interest include: COBOL, C/C++, Java, cloud computing, Angular, React, Python, PIG Analytics, Pyspark, agile development, continuous integration/continuous delivery (CI/CD), containers and Docker, Kubernetes, Amazon Web Services (AWS), Linux (VMWare), ElasticSearch, Rust, micro services, Ansible, clusters, digital forensics, incident response, quantum and more. Beyond technical skills, we need strong critical thinkers, collaborators, independent self-starters, continuous learners and flexible contributors. We look forward to hearing from you about what excites you and where you think you can make the most impact. Note: Please upload a copy of your transcripts from all schools attended prior to applying for this position. Unofficial...

Responsibilities: As a CDS, you will develop custom high-priority offensive and defensive capabilities targeting the hardest-to-reach adversarial networks in the world. You will apply and grow your expertise to create new ways to get critical information to national decision makers as part of the world's most advanced team of computer science and engineering professionals. Responsibilities may include: - Developing exploitation capabilities and analytics to enable foreign target network collection - Designing hardware components and systems to further signals intelligence missions - Analyzing sophisticated malware Competencies If you have interests, skills, or experience in one or more of the following areas, we'd like to hear from you: - Software Specialties: Strong software development skills (C, C++, Assembly, ARM); software RE/interactive debugging tools); software application vulnerability analysis and exploitation; operating system internals; mobile platform development...

Responsibilities: AI Engineers will: - Lead or contribute to cross-functional teams to develop and operationalize AI solutions that help solve our most challenging problems. - Apply modern engineering techniques to design, develop, deploy and maintain end-to-end AI workflows spanning model training, inference and performance monitoring. - Adapt and integrate diverse AI model architectures, including computer vision systems, natural language processors, audio processors, large language models (LLMs) and multi-modal frameworks to address complex mission-critical challenges. - Monitor and maintain AI products through systematic identification of performance degradation and computational inefficiency and address these challenges through regular fine-tuning to ensure continued alignment with evolving mission needs and organizational goals. - Maintain knowledge of current AI research and adapt emerging techniques to intelligence applications. - Test and evaluate AI solutions against...