DSP & SDR Engineer: Reverse‑Engineering & Payloads

Lockheed Martin

Gloucester

Hybrid

GBP 60,000 - 85,000

Full time

6 days ago
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Job summary

Lockheed Martin in Gloucester is seeking a skilled DSP Engineer to work on advanced R&D, SDR systems, and payload development for defence and cyber programmes. You will reverse engineer, develop DSP algorithms, and integrate SDR platforms across mission systems.

The role emphasizes real-time testing, collaboration with hardware and software teams, and delivering innovative signal processing solutions. Proficiency in Python or C/C++ and knowledge of modulation techniques are beneficial.

Qualifications

  • Must have DSP algorithm development experience.
  • Reverse engineering RF systems knowledge is essential.
  • Practical SDR technologies experience and platforms preferred.
  • Proficiency in Python or C/C++ for DSP work.

Responsibilities

  • Reverse engineering hardware, software, and RF signals to identify improvements.
  • Develop and optimize SDR solutions using DSP techniques.
  • Design and develop new DSP algorithms for enhanced signal processing.
  • Contribute to payload development for advanced communications systems.
  • Coordinate testing and validation through lab, field, and real-world scenarios.
  • Collaborate with cross-disciplinary teams to integrate DSP into mission systems.

Skills

DSP algorithm development
Reverse engineering RF systems
Software-defined radio (SDR)
Python / C/C++
Digital communications
Real-time RF testing

Education

Bachelor's degree in Electronics/Computer Engineering

Tools

GnuRadio
Linux
GitLab

Job description

Lockheed Martin in Gloucester is seeking a skilled DSP Engineer to work on advanced R&D, SDR systems, and payload development for defence and cyber programmes. You will reverse engineer, develop DSP algorithms, and integrate SDR platforms across mission systems.

The role emphasizes real-time testing, collaboration with hardware and software teams, and delivering innovative signal processing solutions. Proficiency in Python or C/C++ and knowledge of modulation techniques are beneficial.

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