GPU Software Engineer

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.

SII is seeking a Software Engineer to support the implementation of advanced image processing and image generation algorithms derived from satellite-based radar data. The algorithms have already been defined and validated via a coded prototype.

The objective of this work package is to optimise and implement these algorithms on multi‑GPU architectures, leveraging CUDA cores on NVIDIA RTX‑class GPUs (e.g. RTX 6000) to achieve high‑performance, efficient image processing.

• Implement pre-defined radar image processing and image generation algorithms on multi-GPU platforms
• Develop high-performance software using CUDA with C/C++
• Participate in the full software lifecycle: design, development, test, and verification
• Collaborate with the wider system and software engineering teams during the design phase to define optimal algorithm partitioning and GPU implementation strategies
• Optimise processing pipelines to minimise end-to-end image processing time
• Produce clear and maintainable technical documentation
• Design, code, test, and verify software deliverables in line with work package objectives
• Ensure the solution operates within specific project configurations, parameters, and constraints
• Support integration and validation activities within the delivery team

• Strong experience in C and/or C++
• Proven experience developing GPU-accelerated software using CUDA
• Experience with multi‑GPU architectures and performance optimisation
• Solid understanding of high-performance computing (HPC) concepts
• Experience implementing or optimising image processing algorithms
• Ability to work through design, implementation, and verification phases independently

• Experience working with radar data or sensor-based image generation
• Familiarity with NVIDIA RTX‑class GPUs (e.g. RTX 6000)
• Experience working to ECSS standards (preferred but not essential)
• Background in space, defence, or aerospace projects
• Experience working within constrained, safety‑or performance‑critical systems

• 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 & Tech Scheme
• Continuous professional development
• Corporate access to the Udemy platform
• If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar, however certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK.