IERUS specializes in a variety of electromagnetic spectrum technology research, testing, and implementation. IERUS supports customers with a diverse set of competencies including software, firmware, and hardware development, air and missile defense, and systems engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS are the recipients of the "Best Places to Work" two years running, and were finalists the five years prior. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit www.ierustech.com. IERUS participates in projects that generally seek to apply and advance machine-learning (ML) and artificial intelligence (AI) as applied to our relevant domains of expertise. Past and present areas of expertise include:

RADAR
Signal processing, system design, operational optimization, detection, discrimination, and tracking
RF/EO/IR
Signal processing, system design, signatures, tracking, and testing
Electronic Warfare (EW)
System design, research, testing, counter-measures
Antennas
System design and testing
Image processing
Segmentation, recognition, and denoising
Critical infrastructures
Process control systems, situational awareness, cyber security, anomaly detection
Vehicles and vessels
Situational awareness, cyber security, anomaly detection
ML/AI R&D
Algorithm development, GPU acceleration, global and local optimization of complex and fused data, adversarial ML, network architecture and computability Minimum Educational Experience:
MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying software engineering solutions featuring machine-learning, to the problem types described above
OR: BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying software engineering solutions featuring machine-learning, to the problem types described above Minimum Qualifications:
Must be a U.S. citizen;
Secret security clearance, preferred TS clearance and TS/SCI opportunities;
Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.;
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; and
Experience applying advanced math and statistics, especially optimization and related linear algebra techniques. Preferred Qualifications:
PhD in Electrical Engineering, Computer Science, Computer Engineering or related field;
Experience in deploying A/ML algorithms using a 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
Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics. Location: Huntsville / Various Locations in the US IERUS Technologies is an Equal Opportunity/Affirmative Action Employer committed to recruiting, hiring and retaining a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. For more information please click here. IERUS Technologies participates in E-Verify.

IERUS Technologies Inc

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