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Staff / Sr Staff Numerical Algorithm Software Engineer

SciTec
CompanySciTec
CategoryEngineering
LocationBoulder
RemoteOn-site (inferred)
EmploymentFull-time
LevelSenior
SalaryNot stated by the employer
Posted15 May 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
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. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. SciTec has immediate opportunities for talented software & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks. Responsibilities Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF) Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments Other duties as assigned Requirements Bachelor’s or Master’s degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field 2+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation 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-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems) 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
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