Senior Embedded Software Engineer

About The Role

We are seeking a Senior Embedded Software Engineer to join a multi-discipline EW capability development team at our Gloucester site. This exciting opportunity allows you to work on a variety of Defence, Cyber, and Intelligence programmes, contributing to the design, development, and deployment of cutting‑edge RF systems. If you have hands‑on experience with embedded systems development – especially in the context of software defined radio applications – and are eager to advance your career in a high‑impact, innovative environment, we want to hear from you!

At Lockheed Martin, we provide meaningful work and continuous learning opportunities that will help develop your skills and progress your career. We believe in supporting a healthy work‑life balance, offering flexible work schedules, hybrid work where possible, and a comprehensive benefits package to ensure you can enjoy both your professional and personal life.

As an Embedded Software Engineer you will work within a multi‑skilled team, using the OpenCPI framework to build, test, and optimize software‑defined radio systems and RF applications. You’ll work closely with peers, Delivery Managers and Technical Leads to ensure that the customer mission requirements are achieved in efficient and innovative ways.

Key Responsibilities

• Component and Worker Development – Undertake the development and integration of DSP and SDR functions in C++ which will be incorporated into a wider OpenCPI application.
• Platform & API development – Implement signal processing pipelines, embedded Linux drivers, firmware, and application management code to manage the integration of our applications with radios in use by our clients in the real world
• System Design & Integration – Operate within a cross‑functional team designing and integrating RF communication systems, ensuring seamless operation within complex mission environments.
• Test & Measurement – Engage in test driven development strategies and consider testing throughout the development lifecycle of an application, implementing test harnesses and simulations for effective system verification and validation.
• Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo.
• Collaboration & Reporting – Use Agile principles and strong communication to work with peers and leaders to ensure that our delivery is providing the right solution on time. This position offers a unique opportunity to work on innovative solutions for both Lockheed Martin and our customers, delivering cutting‑edge technology in the realm of RF communications and SDR systems.

If you are passionate about developing embedded software for the national security arena and want to take the next step in your career, we encourage you to apply. Join our innovative team and be part of a rewarding journey to develop cutting‑edge solutions for a wide range of critical applications.

Security clearance

This role requires you to be able to obtain and maintain eDV security clearance.

You don’t need to hold eDV clearance when you apply. If you don’t currently have it, we’ll support you through the application process.

Required Skills, Qualifications, And Experience

It is expected that you can evidence significant experience in one of the following:

• Using C++ to implement efficient solutions on resource constrained embedded devices
• Working with RF communications and software-defined radio technologies & architectures
• Working knowledge of digital signal processing, algorithm or payload development, and embedded system design
• Competent in C/C++ and Python for embedded applications

Desired Skills

• EW or SIGINT capability development (including RF waveform and protocol vulnerability analysis)
• Familiarity with GnuRadio, MatLab, AMD EDF or other SDR development tools
• Commercial and Military communications stacks and modem development (e.g IEEE 802.x, COFDM, Satcoms, or Link 16)
• Working in AWS and CICD pipelined environments, especially with GitLab and Linux
• Real‑time test and measurement, using tools such as vector signal analyzers

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