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 works with engineers across STR divisions and sectors, 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 includes developing capabilities that transition from advanced research into operational prototype systems. The position is ideally suited for a Lead Engineer, and applicants at multiple experience levels may be considered if their qualifications closely align with the requirements. Opportunities are available in Massachusetts, Virginia, and Ohio offices. The position requires the ability to obtain a Top Secret security clearance; U.S. citizenship is required for that clearance. STR is an equal opportunity employer and provides reasonable accommodations during the employment process.

Requirements

  • 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 two or more 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.
  • Ability to obtain a Top Secret security clearance; U.S. citizenship is required for the clearance.

Nice To Haves

  • Active security clearance.
  • Experience with defense-sector RF technologies, particularly 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, or reinforcement learning; approaches such as Bayesian, deep convolutional, and graph neural network methods; and tools such as PyTorch, Ray, TensorFlow, or MLflow.
  • Experience interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution.
  • Ability to apply novel, innovative, and interdisciplinary approaches to challenging engineering problems.
  • Ability to create and present briefings to customers and senior management that explain solutions at both a high level and in technical depth.

Responsibilities

  • Design and apply signal processing and machine learning techniques to address 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 sense making and sensor decision making, including signal detection and classification, electronic support measures, electronic attack and protection, and cognitive electronic warfare.
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