Lead Signal Processing Researcher

Systemstechnologyresearch; Dayton (OH); On-site; USD 173,000 - 216,000; Full time

Job summary

Systemstechnologyresearch is seeking a Lead Signal Processing Researcher to develop, test, integrate, and demonstrate signal processing algorithms for electronic warfare applications. Candidates should have expertise in optimization, machine learning, and systems engineering.

The role requires strong programming skills and the ability to lead technical teams effectively. A PhD, MS, or BS in a relevant field, along with an active Security Clearance and relevant experience, is essential for this position.

Qualifications

• PhD, MS, or BS in a relevant field with 3–8+ years of experience.
• Active Security Clearance required.
• Strong scientific programming skills including Matlab and Python.

Responsibilities

• Develop electronic warfare and radar system concepts.
• Lead technical teams to implement and test signal processing systems.
• Communicate with customers and stakeholders effectively.

Skills

Electronic warfare

Adaptive signal processing

Machine learning

Algorithm development

Systems engineering

RF programming skills (Matlab, Python)

Communication skills

Education

PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics

Tools

C/C++

Simulink

Job description

About the Team

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division’s efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role

As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare and sensor applications.

A successful candidate will have demonstrated leadership skills and substantial expertise in several of the following areas: optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills working as part of and leading multi‑disciplinary teams designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems.

What you will do

• Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges
• Provide technical leadership to small, multi‑disciplinary teams that develop, implement, test, and integrate novel sensing, electronic warfare, and signal processing systems
• Direct Modeling and Simulation activities of advanced RF systems in support of algorithm development, test, and integration
• Plan and support algorithm test and evaluation activities, including performance assessment in laboratory and field environments
• Clearly communicate with customers, stakeholders, sponsors, prime‑ and subcontractors

Who you are

• Active Security Clearance, with eligibility to support special access programs, for which US Citizenship is required by the US government
• PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 3–8+ years of relevant experience depending on degree
• Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++
• Strong communication skills and the ability to describe complex technical concepts to fellow researchers as well as to non‑technical people
• Ability to translate customer requirements to determine research focus
• Ability to create and present deep technical briefings as well as high‑level briefings to Customers and senior management
• Experience with designing, implementing, testing, and analyzing ML/AI algorithms
• Strong understanding of radar architectures, waveforms, modes, and RF signal chains

Even Better

• Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations
• Experience with advanced RF system concepts, signal processing, open architectures, and systems integration
• Experience in Software Development
• Ability to survey literature to determine state‑of‑the‑art, incorporate recent research, and transition it into integrated, tested solutions
• Understanding and experience interacting with decision‑makers and customers to translate mission needs into an end‑to‑end, integrated analytical solution

Pay Information

Full‑Time Salary Range: $173,000 - $216,000

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at [e-mail] and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.