Lead Algorithm & Signal Processing Engineer

STR • Arlington, VA

1d

About The Position

The Electronic Warfare and Novel Capabilities Group (EWNC) develops advanced signal-processing algorithms and prototype systems for next-generation radar and electronic-warfare technologies. The group collaborates with engineers across sectors and divisions, as well as academic and industry partners, to develop practical solutions to RF sensing and counter-sensing challenges.

The Lead Algorithm & Signal Processing Researcher develops state-of-the-art algorithms and techniques for sense-making and sensor decision-making, including signal detection and classification, electronic support measures, attack and protection, and cognitive electronic warfare. The role focuses on developing innovative technologies that progress from advanced research into operational prototype systems. The position is ideally suited to a Lead Engineer, and applicants with closely aligned qualifications are encouraged to apply. Opportunities are available at multiple experience levels in MA, VA, and OH.

STR is a technology company specializing in advanced research and development for defense, intelligence, and national security. Its work includes cyber; next-generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics. STR describes its work environment as collaborative and supportive of deep technical understanding and recognition of team contributions. The role requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is required.

Requirements

• Ability to obtain a Top Secret security clearance; U.S. citizenship is required for this clearance.
• Bachelor’s, master’s, or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline.
• 5–7+ years of relevant work experience depending on degree: 7+ years with a bachelor’s degree or 5+ years with a master’s degree.
• Experience in at least two relevant areas, including RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test and evaluation, modeling and simulation, systems engineering, test engineering, radar modeling, or RF systems prototyping.
• Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++.
• Strong mathematical, troubleshooting, written, and verbal communication skills.

Nice To Haves

• Active security clearance.
• Experience with defense-sector RF technologies, particularly for sensing and electronic-warfare applications, including electronic attack, electronic protection, cognitive electronic warfare, and advanced electronic support measures techniques and algorithms.
• Experience with machine-learning tasks such as natural language processing, image recognition, semantic segmentation, and reinforcement learning; approaches such as Bayesian, deep convolutional, and graph neural network methods; and tools such as PyTorch, Ray, TensorFlow, and MLflow.
• Experience interacting with decision-makers and customers to translate mission needs into end-to-end analytical solutions.
• Ability to apply novel, innovative, and interdisciplinary approaches to challenging engineering problems.
• Ability to create and present customer and senior-management briefings that explain solutions at both a high level and in technical depth.

Responsibilities

• Design and apply signal-processing and machine-learning techniques to solve 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 capabilities to prototype systems.
• Develop algorithms and techniques for signal detection and classification, electronic support measures, electronic attack and protection, and cognitive electronic warfare.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior