Principal Algorithm & Signal Processing Engineer

Principal Algorithm & Signal Processing Engineer

Dayton, OH

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 and divisions at STR and researchers at academic institutions and industry partners 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.

We are looking for a Principal Engineer to 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. You will lead projects and proposal efforts, lead and advise fellow researchers, scientists, and engineers on multi‑disciplinary teams spread across multiple STR campuses. You will seek to understand customer missions, and in turn, construct proposal and program plans to meet their current and future needs.

• Engage directly with customers to understand their unique requirements and national security needs, and shape our solutions to meet their objectives
• Lead projects and multi‑disciplinary teams
• Design and apply cutting‑edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter‑sensing challenges
• Support business development initiatives and lead writing efforts, playing a key role in shaping the future direction of our projects and organization

• This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government.
• BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
• 10+ years of relevant work experience or equivalent experience dependent on degree (PhD +5 years or MS +8 years)
• Experience on EW or Radar programs, including the development of sensor system modes and advanced signal‑ and data‑processing algorithms frommathematical/analytical derivation through testing and verification of system performance
• Expertise 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, model & simulation, systems engineering, test engineering, radar modelling, or RF systems prototyping
• Experience providing technical briefs to subcontractors, senior level executives, and customers
• Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
• Experienced researcher and team member who is excited to work with mission partners to leverage cutting‑edge technology and research for immediate impact
• Excellent communicator and briefer, who is comfortable communicating with both technical and non‑technical audiences
• Strong mathematical, troubleshooting, written, and verbal communication skills

• Active Secret or TS/SCI Clearance
• Demonstrated leadership of complex research, development, and engineering efforts
• Experience with:
  • Radar and RF technologies in the defense sector, particularly for RF sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, radar signal processing, optimization, and advanced ESM techniques and algorithms
  • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, Tensor Flow/board, and MLflow
  • Interacting with decision‑makers and customers to translate mission needs into an end‑to‑end solution
• Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems

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