Lead Algorithm & Signal Processing Engineer

About the role

About 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 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.

The Role:

As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity 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.

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:

- This position requires the ability to obtain a Top Secret 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

- 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, or systems engineering, test engineering, radar modelling, 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

Even Better:

- Active Security Clearance

- Experience with:

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- RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures 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, TensorFlow/board, and MLflow