Algorithm Engineer

• Develop and implement algorithms based on mathematical and signal processing models
• Translate theoretical concepts into efficient, production-quality C++ code
• Work within a model-driven development approach, integrating autogenerated and hand-written code
• Validate algorithms through simulation, test and analysis
• Integrate algorithms into larger software systems and target environments
• Develop, deploy, and debug software on Linux-based platforms
• Apply software and algorithm best practices, including unit testing and static analysis
• Collaborate closely with systems engineers, software engineers, and architects
• Use standard engineering toolchains (e.g. Git, JIRA, Jenkins) to support delivery
• Produce clear technical documentation supporting algorithms and implementation
• Contribute to project planning, reporting, and risk management activities
• Support containerised deployment where applicable

We are looking for an experienced Algorithm Engineer with strong C++ expertise and a deep understanding of mathematics and signal processing to develop, implement, and integrate complex algorithms into high-quality software solutions.

You will work in a model-driven engineering environment, translating theoretical and mathematical models into efficient, reliable, and maintainable implementations. The role spans algorithm development, validation, and software integration, with a strong emphasis on code quality, clean coding practices, and engineering rigour., * Strong C++ proficiency

• Background in mathematics, signal processing, and algorithm development
• Experience with model-driven engineering and mixed generated/manual code
• Linux development and scripting experience
• Knowledge of software architecture and system integration
• Experience with unit testing, static analysis, and high-integrity coding
• Familiar with SCM and containerisation tools
• Understanding of TCP/IP networking
• Aerospace/defence industry experience

DESIRABLE SKILLS:

• Experience with UML modelling tools (ideally IBM Rhapsody)
• MATLAB/Simulink for algorithm simulation and validation
• Knowledge of GPU acceleration (CUDA, OpenCL, HIP)
• Exposure to software assurance and static analysis tooling
• Experience in defence or safety-critical environments
• Familiar with CI/CD and DevOps practices

• Competitive Basic Salary
• 6% Employers Contribution + 6% as a salary sacrifice
• Private Medical Insurance, Life Cover and Income Protection
• 25 days holiday
• 10 days full sick pay per year
• Flexible working
• Cycle to Work & TechScheme
• Continuous professional development
• Corporate access to the Udemy platform, Group Income protection Life Cover Pension Scheme Perks Scheme Private Medical Insurance Referral bonus

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SII Group delivers Digital Services, IT, Engineering, and Consulting to diverse industries, enabling digital transformation through our commitment to Growth, People, and CSR. With over 16,000 professionals across 21 countries, we're recognised as a "Great Place to Work" for fostering a high-trust culture. Our core values of Trust, Transparency, and Quality drive our work package delivery, ensuring we meet and exceed client expectations as a committed partner. Since 2016, SII UK has supported top Aerospace & Defence, Aviation, Transportation, and Finance clients, empowering digital transformation with industry-leading engineering expertise. Let's Tech Together is our promise to encourage innovation and teamwork. We support our engineers with development opportunities and a collaborative, inclusive environment where every voice is valued and empowered.