Systems & Technology Research
Lead Algorithm & Signal Processing Engineer
Systems & Technology Research, Arlington, Virginia, United States, 22201
Lead Algorithm & Signal Processing Engineer
Arlington, VA The Team:
The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges Design and implement models and simulations for advanced RF systems Lead small teams and projects Support business development and proposal writing efforts Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems Who You Are: Ability to obtain a Top Secret security clearance; U.S. citizenship required BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years) Experience in two or more of the following areas: RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, systems engineering, test engineering, radar modelling, or RF systems prototyping Proficiency in MATLAB, Python, and C/C++ Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: Active Security Clearance Experience with RF technologies in the defense sector for sensing and electronic warfare applications Machine learning tasks such as NLP, image recognition, semantic segmentation, reinforcement learning; familiarity with PyTorch, TensorFlow, and related tools Ability to translate mission needs into end-to-end analytical solutions and present briefings to customers and senior management Join us and be part of a team that's making an impact at the forefront of technology and innovation. While this role is ideally suited for mid-career to senior engineers, we welcome applications from all candidates who feel they meet most of the requirements. STR is a growing technology company with locations near Boston, MA; Arlington, VA; Dayton, OH; Melbourne, FL; and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and AI algorithms and analytics. STR is committed to a collaborative learning environment that supports deep technical understanding and recognizes the contributions of all team members. Our work is challenging, and we strive to push the envelope of technology to make the world safer. STR is an equal opportunity employer. We are dedicated to hiring the most qualified candidates regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, or any other characteristic protected by law. If you need a reasonable accommodation during the employment process, please email us. Pursuant to applicable laws, positions at STR may require national security clearances and compliance with export control and other regulations. Apply for this job To express interest, proceed with the online application and submit any required materials as prompted.
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Arlington, VA The Team:
The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges Design and implement models and simulations for advanced RF systems Lead small teams and projects Support business development and proposal writing efforts Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems Who You Are: Ability to obtain a Top Secret security clearance; U.S. citizenship required BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years) Experience in two or more of the following areas: RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, systems engineering, test engineering, radar modelling, or RF systems prototyping Proficiency in MATLAB, Python, and C/C++ Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: Active Security Clearance Experience with RF technologies in the defense sector for sensing and electronic warfare applications Machine learning tasks such as NLP, image recognition, semantic segmentation, reinforcement learning; familiarity with PyTorch, TensorFlow, and related tools Ability to translate mission needs into end-to-end analytical solutions and present briefings to customers and senior management Join us and be part of a team that's making an impact at the forefront of technology and innovation. While this role is ideally suited for mid-career to senior engineers, we welcome applications from all candidates who feel they meet most of the requirements. STR is a growing technology company with locations near Boston, MA; Arlington, VA; Dayton, OH; Melbourne, FL; and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and AI algorithms and analytics. STR is committed to a collaborative learning environment that supports deep technical understanding and recognizes the contributions of all team members. Our work is challenging, and we strive to push the envelope of technology to make the world safer. STR is an equal opportunity employer. We are dedicated to hiring the most qualified candidates regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, or any other characteristic protected by law. If you need a reasonable accommodation during the employment process, please email us. Pursuant to applicable laws, positions at STR may require national security clearances and compliance with export control and other regulations. Apply for this job To express interest, proceed with the online application and submit any required materials as prompted.
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