STR
Lead Signal Processing Researcher
$173K–$216K
Dayton, OH +4 · Full-time · Posted Sep 18, 2026
- Location
- Dayton, OH
Arlington, Virginia, United States
Atlanta, Georgia, United States
Dayton, Ohio, United States
Woburn, Massachusetts, United States - Experience
- 3–8+ years of relevant experience depending on degree.
- Education
- PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline.
About the job
Leads teams developing, testing, integrating, and demonstrating signal-processing, optimization, and machine-learning algorithms for electronic warfare and advanced sensor systems.
What you'll do
- Develop electronic warfare and radar concepts, signal-processing and machine-learning algorithms, and RF solutions for remote sensing.
- Lead multidisciplinary teams implementing, testing, and integrating sensing and electronic-warfare systems; direct modeling and simulation.
- Plan and support algorithm test and evaluation, assess performance in laboratory and field environments, and communicate with customers and stakeholders.
What they ask for
- Active security clearance and eligibility to support special access programs; US citizenship is required by the US government.
- PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline.
- Strong scientific programming skills, including Matlab, Python, Simulink and/or C/C++; experience designing, implementing, testing, and analyzing ML/AI algorithms.
- Strong understanding of radar architectures, waveforms, modes, and RF signal chains; strong communication skills.
Nice to have
- Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations.
- Experience with advanced RF concepts, signal processing, open architectures, systems integration, or software development.
Pay
$173,000 - $216,000 USD base salary
Tools
Matlab, Python, Simulink, C/C++
AI focus
Develop, implement, test, and analyze machine-learning/AI algorithms for electronic-warfare and sensor applications.
Model-written summary · the original posting is authoritative