Senior Numerical Algorithm Software Engineer

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

• →Lead the research, development, and maturation of advanced numerical algorithms for radar signal and data exploitation, including detection, tracking, estimation, clutter suppression, and processing for modernized radar architectures.
• →Design, implement, and optimize high‑performance radar tracking algorithms in Python and C++, with emphasis on scalability, latency reduction, and robustness for operational radar missions.
• →Develop and tune Kalman filtering, tracking, and data exploitation algorithms in Python and C++
• →Develop and optimize Resource Management algorithms based on mission requirements
• →Architect and develop end‑to‑end radar processing pipelines, from raw I/Q ingest through DSP chains, feature extraction, tracking, and production deployment in mission environments.
• →Advance radar modeling, simulation, and algorithm‑evaluation toolchains, including reusable frameworks that support rapid prototyping, validation, and integration of new radar capabilities.
• →Define and execute quantitative radar‑performance assessments including detection metrics, tracking accuracy, false‑alarm characterization, sensitivity studies, and validation using real radar data.
• →Collaborate cross‑functionally with software engineers, system architects, RF engineers, and mission stakeholders to integrate algorithms into operational radar systems and ensure mission alignment.
• →Provide technical leadership within Agile development teams, mentor junior engineers, drive radar‑focused best practices, and contribute to shared DSP and algorithm codebases.
• →Support proposal efforts, technical roadmaps, and customer engagements by clearly articulating radar algorithmic approaches, performance advantages, and modernization benefits.
• →Ensure compliance with mission assurance, cybersecurity, and software‑quality standards relevant to DoD radar programs.
• →Other duties as assigned.

• Bachelor’s or Master’s degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
• 8+ years of experience developing numerical algorithms for radar signal processing or related sensor‑processing applications
• Demonstrated expertise in developing and implementing algorithms in Python and C++
• Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques
• Experience working with real radar data (e.g., I/Q samples, pulse‑compressed data, tracking data, or radar simulations)
• Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking
• Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD)
• Ability to work effectively in Agile or iterative development environments
• Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
• U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred)

Candidates who have any of the following skills will be preferred

• PhD in Applied Mathematics, Physics, Electrical Engineering, or related technical field
• Experience with advanced radar DSP techniques (e.g., CFAR, MTI/MTD, beamforming, calibration, Doppler processing, tracking filters, estimation algorithms, inverse problems)
• Familiarity with machine‑learning methods applied to radar data (e.g., classification, anomaly detection, deep learning‑based radar feature extraction)
• Experience optimizing radar algorithms for performance (parallel computing, GPU acceleration, vectorization, memory optimization)
• Knowledge of DoD radar mission systems, radar phenomenology, or ground‑/air‑based radar architectures
• Experience transitioning radar algorithms from prototype to production in operational radar environments
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with radar modeling and simulation environments supporting system development
• Prior experience leading technical efforts or mentoring junior engineers
• Active DoD security clearance