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Principal Algorithm Researcher

2 months ago


Winchester, Virginia, United States STR Full time
About the Team

The Electronic Warfare and Novel Capabilities Group (EWNC) within the STR Sensors Division is at the forefront of developing advanced signal processing algorithms and prototyping systems for next-generation radar and electronic warfare technologies.

We foster a culture of innovation and collaboration, working closely with a dynamic group of research engineers across STR, academic researchers, and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges.

Together, we're dedicated to tackling some of the toughest problems faced by our national security-focused clients.

The Role

As a Principal Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for signal detection, classification, autonomous sensor decision-making, sense making, radar electronic warfare, waveform design, electronic support measures, and more.

You'll lead a team of researchers in creating innovative systems while collaborating closely with our engineering teams to translate your advancements into tangible systems.

Additionally, you'll engage directly with our customers to understand and address their most critical challenges.

Key Responsibilities
  1. Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges.
  2. Lead and inspire small, multi-disciplinary teams, guiding them towards success with your technical expertise and leadership skills.
  3. Collaborate with diverse teams, bringing together different perspectives to develop and deploy prototype systems that push the boundaries of what's possible.
  4. Engage directly with customers to understand their unique requirements and national security needs, and shape our solutions to meet their objectives.
  5. Drive business development initiatives and support proposal writing efforts, playing a key role in shaping the future direction of our projects and organization.
Requirements

To be successful in this role, you'll need:

  • Ability to obtain a Security Clearance, for which U.S citizenship is needed by the U.S government.
  • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline.
  • 5-10+ years of relevant work experience depending on degree.
  • Experience on EW or Radar programs, including the development of sensor system modes and advanced signal- and data-processing algorithms from mathematical/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.
Preferred Qualifications

We're looking for candidates with:

  • Active Secret or TS/SCI Clearance.
  • Demonstrated leadership of complex research, development, and engineering efforts.
What We Offer

As a member of our team, you'll have the opportunity to work on cutting-edge projects, collaborate with talented engineers and researchers, and contribute to the development of innovative solutions for national security challenges.

We're committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members.

Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.