3 systems engineer manager jobs found

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: Responsibilities for Logistics Services Officers may include, but are not limited to: - Managing NSA worldwide vehicle assets, to include the administration of funds for procurement and maintenance. - Initiating and executing all travel needs in association with official travel performed in support of the NSA mission. - Providing cafeterias and morale and welfare services support to the Agency workforce. - Performing functions related to inbound shipments of materials received by the Agency, which include unloading trucks, inspecting material for damage, reviewing paperwork, and in-checking materials. - Interacting directly with CONUS and OCONUS customers, acting as point of contact for any questions, status updates, complaints, concerns, etc. regarding any logistics function. - Performing contract activities, including assignment as a Contracting Officer Technical Representative (COR/COTR). - Assisting Agency employees with commuter and ridesharing...

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...