AI/ML Engineer/Developer

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 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
• AI/ML 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 Science, Applied Mathematics, Statistics, or related field plus 4 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;
• 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 with at least one deep learning package: TensorFlow, Torch, ect.;
• 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;
• TS/SCI clearance;
• Experience in deploying AI/ML algorithms using a compiled programming language (C/C , Rust, Java, etc.);
• Experience implementing solutions using at least 2 of the methods: Deep Reinforcement Learning, Computer Vision, Anomaly Detection, Time Series Analysis
• 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;
• Engineering experience in the defense industry;
• Image processing 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, AL

IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. 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, age, or any other federally protected class.

IERUS Technologies participates in E-Verify.