Leidos is seeking a highly skilled Senior Software Engineer to support rapid-response research and development (R&D) in various laboratory environments focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning algorithm design and software development to create tools algorithms and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings collaborating with cross-functional teams to design implement and optimize innovative solutions under tight timelines. The role demands adaptability technical expertise and a strong ability to bridge algorithm theory with practical software engineering applications.
Key Responsibilities:
- Design develop and implement machine learning models algorithms and software tools to support SIGINT and GEOINT mission objectives in lab environments.
- Rapidly prototype and deliver capabilities to address emerging intelligence issues ensuring alignment with mission requirements.
- Create and integrate computer programs often for larger software systems to support mission-critical applications.
- Design and optimize algorithms conducting analysis implementation profiling and experimental evaluation to ensure performance and scalability.
- Bridge the gap between algorithm theory and practical applications translating complex requirements into robust software solutions.
- Collaborate with lab teams mission stakeholders and intelligence analysts to define requirements prototype solutions and deliver actionable tools.
- Adapt to evolving mission needs across multiple lab locations addressing technical challenges with innovative and efficient solutions.
- Perform optimization and profiling of algorithms to enhance performance in resource-constrained or time-sensitive environments.
- Document technical designs algorithm specifications and software processes to support mission continuity and compliance.
- Stay current with advancements in machine learning SIGINT and GEOINT technologies to inform R&D efforts.
Basic Qualifications:
- Bachelors degree with 8 years related experience or Masters degree and 6 years related experience. Additional experience maybe considered in lieu of a degree.
- An active TS/SCI with Poly security clearance.
- At least 3 years of experience in software engineering with a focus on machine learning and algorithm development.
- Expertise in developing SIGINT and GEOINT tools algorithms or prototype capabilities for intelligence applications.
- Strong experience in designing implementing and optimizing computer algorithms for mission-critical systems.
- Proficiency in creating computer programs including integration with larger software systems.
- Knowledge of machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn) and algorithm development tools.
- Experience with rapid-response R&D including prototyping and experimental evaluation in dynamic environments.
- Strong problem-solving skills and the ability to bridge algorithm theory with practical software engineering applications.
- Ability to work in various lab environments and adapt to rapidly changing mission requirements.
- Excellent communication skills to collaborate with mission stakeholders lab personnel and technical teams.
Preferred Qualifications:
- Experience working in laboratory environments supporting defense intelligence or SIGINT/GEOINT missions.
- Advanced certifications in machine learning software engineering or related fields (e.g. AWS Certified Machine Learning Google Professional Data Engineer).
- Proficiency in programming languages such as Python C or Java for algorithm and software development.
- Familiarity with SIGINT/GEOINT-specific tools frameworks or data formats (e.g. NITF STANAG).
- Experience with cloud-based development environments (e.g. AWS Azure) for machine learning and algorithm deployment.
- Knowledge of mission-specific security standards or frameworks (e.g. NIST RMF or IC/DoD compliance).
- Experience working in Agile or DevOps environments to support rapid prototyping and delivery.
- Familiarity with XMIDAS.
- Familiarity with SIGHUB and GEOHUB environments.
Why Leidos
- Mission Impact: Develop innovative SIGINT and GEOINT solutions that directly support national security and intelligence missions.
- Dynamic Environment: Work in cutting-edge lab settings with opportunities to tackle complex mission-driven challenges.
- Career Growth: Access to professional development training and mentorship programs.
- Comprehensive Benefits: Competitive salary health and wellness programs retirement plans and flexible work options.
Original Posting:
June 10 2025
For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Required Experience:
Senior IC