Leading Software-Defined R&D and Product Programmes

Summary

For engineers and managers leading the integration of hardware and software development programmes.

Products are increasingly being defined by their software. From connected vehicles to intelligent manufacturing systems, the competitive nature of physical products now depends as much on their software architecture as on their physical design.  Engineering managers often struggle to align timelines, leading to late-stage rework and costs when hardware and software development styles and cultures need to be integrated.

Technical knowledge alone is not enough for engineers and managers navigating these programmes. Leading integrated projects means aligning teams that operate with fundamentally different methodologies, making architectural decisions, and building the business case for infrastructure investments that are hard to quantify in the short term.

This two-day course gives engineers and managers the tools to make better decisions earlier, reduce programme risk, and lead integrated hardware-software development projects with greater confidence and control. 

Delegates will explore how integrated teams coordinate hardware and software development across prototyping, testing, and validation, through real-world case studies. The course examines how techniques such as digital simulation, hardware-in-the-loop (HiL) testing, and Design for Manufacture and Assembly (DfMA) shape programme decisions and inform technical leadership.

By attending, delegates will leave with practical frameworks they can apply immediately to their projects, their teams, and the technical trade-offs they face every day. This provides more predictable delivery, reduced R&D costs and teams better equipped to compete in an increasingly software-driven market. 

Who should attend?

This course is aimed at mid to senior-level engineers, technical leads, and managers who are responsible for delivering or overseeing integrated hardware-software programmes. It is equally relevant for business and project professionals working within engineering organisations who need a deeper understanding of the technical and organisational challenges these programmes present.

How will I benefit?

• Confidently navigate the differences between hardware and software R&D lifecycles and understand their implications for integrated programme delivery
• Identify and address risks in NPI programmes where hardware and software development are running concurrently
• Build more effective early-phase collaboration across engineering disciplines by establishing clear interdependencies, interfaces, and shared success criteria
• Lead cross-functional teams across in-house and external delivery partners
• Evaluate and select appropriate testing, verification, and validation strategies including digital simulation and hardware-in-the-loop (HiL) testing 
• Manage reliability, quality, and supply chain assurance across the full product lifecycle
• Apply systems thinking to Software-defined programmes to manage complexity and drive better programme outcomes
• Make informed decisions around product longevity, over-the-air (OTA) updates, maintainability, and sustainability
• Recognise and assess cybersecurity risks in integrated hardware-software systems and understand their impact on programme compliance and lifecycle support
  
   

Key topics

• The software-defined shift and its implications for R&D strategy
• Understanding how software-defined product strategies are reshaping R&D, competitive advantage, and organisational structure across engineering sectors.
• Portfolio thinking, governance, and delivery planning
• Balancing research, development, and platform investment across complex programmes, with practical approaches to stage-gating, risk prioritisation, and make-or-buy decisions.
• Agile and waterfall methodologies in a hardware-software context
• Managing the mismatches between hardware and software R&D cycles and building hybrid project models.
• Systems thinking, architecture decisions, and technical risk
• Making informed architecture decisions with long-term programme implications, including technical debt, functional safety, cybersecurity, and regulatory considerations.
• Leading and structuring cross-functional engineering teams
• Managing hybrid hardware-software teams across in-house and working with external delivery partners.
• Testing, validation, and product lifecycle management
• Applying integrated verification and validation strategies, including digital simulation, HiL testing, and over-the-air update considerations, across the full product lifecycle.
  
   

Meet our trainers

These trainers regularly teach Leading Software-Defined R&D and Product Programmes.