Software Engineer; Digital Signal Processing

Overview

Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.

A highly capable Software Engineer (Digital Signal Processing) is required to support support the development, integration, and testing of complex digital signal processing (DSP) algorithms within real-time software systems. This role is suited to professionals with strong C++ expertise, a deep understanding of computational mathematics, and experience working in model-driven development environments.

The position involves working within multidisciplinary engineering teams to translate mathematical models into robust, high-performance software implementations. The ideal candidate will be comfortable working in Linux-based environments, collaborating across modelling, software, systems, and verification functions.

• Design, develop, and optimise real-time DSP algorithms in C++ within high-performance computing environments.
• Integrate both auto-generated and hand-crafted model-based code into larger software systems.
• Conduct modelling, simulation, and validation of algorithms using MATLAB, Simulink, or similar environments.
• Execute structured testing, benchmarking, and verification of DSP components to ensure precision, performance, and model fidelity.
• Develop scripts (Python/Bash) for modelling support, data preparation, analysis, and automated testing workflows.
• Perform Linux-target development activities including debugging, optimisation, and deployment.
• Collaborate with engineering teams to ensure software aligns with system requirements, performance targets, and architectural constraints.
• Apply software engineering best practices including static analysis, unit testing, and clean code principles.
• Contribute to configuration management, issue tracking, and continuous integration processes using industry-standard tools.
• Participate in Agile delivery frameworks, contributing to planning, reporting, and technical reviews.
• Ensure the accuracy, consistency, and quality of algorithmic outputs and their software implementations.

• Degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a related discipline.
• Strong academic or professional focus on signal processing, computational mathematics, or algorithm development.
• Solid grounding in real-time software engineering and Linux-based development environments.

• Advanced C++ programming for real-time DSP applications.
• Strong mathematical capability, particularly in digital signal processing theory and algorithm development.
• Proficiency with MATLAB, Simulink, or similar tools for modelling and simulation.
• Experience with integrating autogenerated model code alongside custom software implementations.
• Linux development expertise, including debugging, profiling, performance optimisation, and command-line workflows.
• Python and/or Bash scripting for automation, prototyping, data manipulation, and verification tasks.
• Familiarity with GPU acceleration techniques (e.g., CUDA, OpenCL).
• Understanding of networking, Linux infrastructure, and system patching.

• Knowledge of high-performance computing techniques and parallelisation strategies.
• Familiarity with container technologies such as Docker or Podman.
• Experience working in multidisciplinary engineering teams including systems, hardware, and modelling specialists.
• Understanding of end-to-end DSP pipelines, model fidelity constraints, and real-time performance requirements.
• Strong awareness of software quality assurance practices and continuous integration concepts.

• Demonstrated experience implementing, validating, and benchmarking DSP algorithms.
• Working with filters, detection algorithms, beamforming, or similar DSP domains.
• Applying model-driven development practices across the full software lifecycle.
• Conducting structured test and verification activities for mathematical or algorithmic components.
• Using…