Job #: R-00160730-OTHLOC-PL-2D1166
Location: Harrogate, North Yorkshire
Category: Software Engineering
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Remote Type: No Remote
Clearance: Top Secret/SCI with Polygraph
External Referral Program: Eligible
Referral Bonus Amount: $1,000
Sector: National Security
Description
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.

BASIC QUALIFICATIONS:

• Bachelor’s degree with 8+ years related experience or Master’s 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.

• 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.