Radar Algorithm Developer
On-siteHuntsville, Alabama, United States
Job Summary
Develop radar algorithms for signal processing, system design, and target tracking within defense and commercial projects. Implement machine learning solutions for domain-specific challenges including detection, discrimination, and anomaly detection across radar, RF, electronic warfare, and image processing tasks. Optimize complex fused data using GPU acceleration and advanced statistical methods to accelerate technology development timelines. This role requires an MS or BS degree in engineering or computer science with 2+ or 3+ years of experience applying AI to engineering solutions. Candidates must be U.S. citizens with an active Secret security clearance (TS preferred) and proficiency in Python, MATLAB, or R. Located in Huntsville, AL, IERUS offers competitive compensation and benefits for this full-time position.
Required Qualifications
- U.S. citizen
- Active Secret security clearance
- MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above
- BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above
- Experience implementing machine learning solutions for engineering and scientific domains
- Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.
- Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others
- Experience applying advanced math and statistics, especially optimization and related linear algebra techniques
Desired Qualifications
- TS clearance and TS/SCI opportunities
- PhD in Electrical Engineering, Computer Science, Computer Engineering or related field
- Proficiency in at least 1 hard programming language (C/C++, Java, etc.)
- Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.
- Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.)
- Publication and/or patent history of applying original solutions to relevant types of problems
- Experience implementing solutions using signal processing algorithms and packages
- TS/SCI clearance
- Engineering experience in the defense industry
- Image processing experience
- Radar system analysis experience
- RF Electronics experience
- Antenna design and analysis experience
- Software Defined Radio (SDR) experience
- Analysis tool-building experience
- Target acquisition, tracking and/or algorithm development
- Advanced modeling skills and optimization
- Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces, and / or
- Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics
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