Senior Software Engineer jobs in United States
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Leidos · 3 hours ago

Senior Software Engineer

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a Senior Software Engineer to perform research-level development of AI enabled capabilities and analytics to advance national security objectives.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a data discovery platform to produce and analyze results, disseminate findings, and contribute to publications and presentations
Work on evaluating and testing emerging AI/ML solutions to complex multi-modal data problems
Support multiple simultaneous mission objectives and take open-ended or high-level guidance to independently and collaboratively research and develop tools that support information consolidation and discovery
Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team
Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement

Qualification

PythonTS/SCI clearanceSoftware engineeringData scienceQuantitative analysisGitCreative problem solvingCustomer focusTeam collaboration

Required

B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 12+ years of experience or Master's Degree or equivalent graduate degree including certificate-based advanced training courses with 10+
12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes
Must have an active TS/SCI clearance and must be able obtain and maintain a Polygraph
Must have proficiency in Python programming language
Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms
Track record of active learning and creative problem solving
Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions
Familiarity using git, svn, JIRA, or other version control technologies

Preferred

A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes
Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e. DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics
Experience with information retrieval and search, e.g. Structured Query Language (SQL), and/or Elastic Stack (Elasticsearch and Kibana)
Deployment of data science applications (e.g. Streamlit) using Docker, Kubernetes, and/or OpenShift
Experience with Knowledge Graphs and KG tech such as neo4j or graph ML
Experience developing predictive algorithms, image classifiers, object detectors, and others
Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing
Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner
Familiarity utilizing virtualization and distributed field systems, such as virtual environments and Hadoop (or similar distributed file systems) in development and deployment environments
Experience with Amazon Web Services (AWS/C2S)
Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs, etc
Familiarity or experience with building applications around Large Language Models, Agentic AI
Familiarity with Kubernetes - deploying and managing applications

Benefits

Health and Wellness programs
Income Protection
Paid Leave
Retirement

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2025-02-20Post Ipo Debt
2013-09-17IPO

Leadership Team

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James Carlini
Chief Technology Officer
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Theodore Tanner
Chief Technology Officer
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Company data provided by crunchbase