Hybrid RF DSP Software Engineer (C++, Python)

VT Group (VTG)

Fort Meade (MD)

Hybrid

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Sign-on bonus up to $10,000
Hybrid work up to two days remote per/

Job summary

VT Group (VTG) in Fort Meade, MD, seeks an experienced RF Software Engineer to design, develop, and optimize DSP algorithms for a radio frequency processing system, with hybrid work up to two days remote per week.

Responsibilities include implementing DSP software in C++, Python, and Linux, translating mathematical models into production code, integrating COTS/GOTS where needed, and collaborating with RF, systems, and software engineers to deliver robust solutions for national security programs.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or a related DSP-focused discipline.
  • 7+ years of DSP algorithm development experience on projects with similar software processes.
  • US Citizen with TS/SCI with Poly.
  • 7+ years of experience in C++, Linux, Python, or similar development technologies.

Responsibilities

  • Design, develop, implement, test, and optimize DSP algorithms in software.
  • Develop algorithms for high-throughput signal exploitation and processing.
  • Translate DSP concepts into production software implementations.
  • Modify existing software to meet Government requirements.
  • Integrate COTS and GOTS products into RF software systems.
  • Collaborate with software, RF, and systems engineers throughout the lifecycle.

Skills

DSP algorithms
High-throughput processing
Team collaboration

Education

Bachelor's degree in Engineering or Computer Science
Master's substitution for experience

Tools

C++
Python
Linux

Job description

VT Group (VTG) in Fort Meade, MD, seeks an experienced RF Software Engineer to design, develop, and optimize DSP algorithms for a radio frequency processing system, with hybrid work up to two days remote per week.

Responsibilities include implementing DSP software in C++, Python, and Linux, translating mathematical models into production code, integrating COTS/GOTS where needed, and collaborating with RF, systems, and software engineers to deliver robust solutions for national security programs.

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