Software Engineer (Digital Signal Processing)

Manchester
6 days ago
Create job alert

Overview

Expleo is 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.

Responsibilities

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.

Qualifications

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.

Essential skills

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.

Desired skills

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.

Experience

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 version control, repository management, and software lifecycle tools (e.g., Git, Bitbucket, Artifactory, Jira).
Working within Agile software environments or following well-defined software delivery processes.
Experience with containerised runtime environments or modern DevOps workflows (desirable).

What do I need before I apply

Eligibility for Security Clearance (SC); in many cases this may require sole UK nationality and long-term UK residency.
Ability and willingness to work fully onsite (location will depend on the employer/project).
Strong communication skills and the ability to collaborate effectively with cross-functional technical teams.
A proactive approach to problem solving, ownership of deliverables, and commitment to high software and mathematical accuracy.

Benefits

Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
Competitive company benefits
Always working as one team, our people are not afraid to think big and challenge the status quo
As a Disability Confident Committed Employer we have committed to:
Ensure our recruitment process is inclusive and accessible
Communicating and promoting vacancies
Offering an interview to disabled people who meet the minimum criteria for the job
Anticipating and providing reasonable adjustments as required
Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people"We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age".

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Software Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Cloud Computing Job Applications (UK Guide)

anding a job in cloud computing can be highly competitive — especially in the UK market where demand far outpaces supply in many segments. Whether you’re aiming for roles in Cloud Engineering, DevOps, Site Reliability, Cloud Architecture, Security, Data/Analytics, or Platform Operations, hiring managers screen applications quickly and with specific priorities in mind. Hiring managers don’t read every detail at first; they scan for critical signals in the first 10–20 seconds. These early signals determine whether your CV gets read more closely, whether your LinkedIn profile gets clicked, and whether you’re invited to interview. This guide breaks down, in practical terms, exactly what hiring managers look for first in cloud computing applications — and what you should emphasise in your CV, cover letter and portfolio to stand out on www.cloudcomputingjobs.co.uk .

The Skills Gap in Cloud Computing Jobs: What Universities Aren’t Teaching

Cloud computing underpins almost every modern digital service. From financial systems and healthcare platforms to AI, e-commerce, government infrastructure and cybersecurity, the cloud is now the default operating environment for UK organisations. Demand for cloud professionals has grown rapidly, with roles spanning architecture, engineering, security, DevOps, platform operations and cost optimisation. Salaries remain high, and vacancies remain stubbornly difficult to fill. Yet despite a growing number of graduates with computer science, IT and software engineering degrees, employers across the UK report a persistent problem: Too many candidates are not job-ready for real cloud computing roles. This is not a question of intelligence or motivation. It is a structural skills gap between what universities teach and what cloud jobs actually require. This article explores that gap in depth: what universities do well, what they consistently miss, why the gap exists, what employers genuinely want, and how jobseekers can bridge the divide to build sustainable careers in cloud computing.

Cloud Computing Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into cloud computing in your 30s, 40s or 50s? You aren’t alone. Across the UK, employers are hiring professionals from diverse backgrounds to help organisations adopt, manage & optimise cloud technology. But let’s cut through the buzzwords. This guide gives you a practical, UK-focused reality check on cloud computing careers for career switchers — what roles exist, what you actually need to learn, how long it takes to retrain and, importantly, whether age matters. If you’re exploring a move into cloud computing, this article lays out what’s realistic and how to get there without falling for hype.