9+ years of experience in algorithm development and systems engineering
Bachelor's degree in a relevant technical field
Advanced MATLAB skills for algorithm and model development
Strong foundation in numerical methods and statistics
Experience in documenting algorithms and presenting findings
Active DoD Secret clearance and U.S. citizenship
Responsibilities
Develop missile system algorithms for tracking, targeting, and signal processing
Translate operational needs into MATLAB prototypes and support software transition
Design test cases and performance metrics for algorithm evaluation
Integrate algorithms with simulations and investigate anomalies
Define algorithm architecture and mentor engineering teams
Benefits
Opportunity to work on cutting-edge defense technology
Involvement in the complete development lifecycle from concept to production
Faster transition to production compared to traditional timelines
Collaborative environment with multidisciplinary teams
Potential for professional growth and skill expansion
Full Job Description
Position Title: Systems/Software Algorithms Engineer (MATLAB) Position Type: Full-Time, On-Site Location: Huntsville, AL Clearance: Active DoD Secret
Waypoint's client is seeking an experienced Systems/Software Algorithms Engineer to support an on-site missile and weapon systems program for a defense customer. The engineer will develop, prototype, evaluate, and transition mission algorithms from analytical concepts and MATLAB models into testable software solutions. This program offers the opportunity to support the clean sheet design of a new defense product from its earliest development stages through integration, testing, and eventual production. The program has the potential to transition into production much faster than traditional government acquisition timelines. For engineers who want to expand their capabilities, this is a rare opportunity to participate in the complete development lifecycle.
Responsibilities
Develop and evaluate missile system algorithms for functions such as tracking, targeting, signal processing, sensor fusion, estimation, decision logic, and performance optimization.
Translate operational needs into algorithm concepts and MATLAB prototypes; support verification and transition into production of C/C++ or embedded software.
Design representative test cases, truth data, Monte Carlo analyses, and performance metrics to evaluate robustness across the operating envelope.
Integrate algorithm models with simulations, sensors, GNC, embedded software, and laboratory test environments; investigate anomalous behavior and recommend design changes.
Define algorithm architecture, lead technical trades, establish verification strategy, mentor engineers, and coordinate across systems, GNC, software, modeling, hardware, and test teams.
Required
At least 9 years of relevant algorithm development, systems engineering, estimation, tracking, signal processing, controls, autonomy, or applied-mathematics experience.
Bachelor's degree in electrical engineering, computer engineering, aerospace engineering, computer science, applied mathematics, physics, or a closely related technical discipline.
Advanced MATLAB experience developing algorithms, analytical models, test harnesses, or system performance assessments.
Strong foundation in numerical methods, probability/statistics, linear algebra, estimation, optimization, or digital signal processing as applicable to prior work.
Experience developing requirements, documenting algorithm behavior, and presenting technical findings to multidisciplinary teams.
U.S. citizenship and an active DoD Secret clearance.
Preferred
Direct missile, guided weapon, seeker, fire-control, tracking, targeting, or aerospace/defense algorithm experience.
Experience with radar, electro-optical/infrared, RF, inertial, navigation, or multi-sensor data.
Experience converting MATLAB algorithms to efficient C/C++ or supporting embedded real-time implementation.
Working knowledge of Simulink, Python, Git, automated test, data analysis, and software configuration practices.
Experience with Kalman filtering, track filtering, detection and estimation theory, sensor fusion, optimization, or machine learning where applicable.
Experience supporting software-in-the-loop, hardware-in-the-loop, field test, ground test, flight test, or post-test data analysis.
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