Senior Engineer – Analysis Software Development

We are Rolls‑Royce SMR and we’re doing something that’s never been done before. We’re revolutionising an industry. That’s a once‑in‑a‑career opportunity for those excited by such a challenge. This is more than just a job; this is a legacy.

About the Team:

Rolls‑Royce SMR requires world‑class engineering analysis capability across a wide range of disciplines, including structural analysis, thermo‑fluids, electrical systems and many more. The Engineering Analysis Capability team develops software solutions that improve the efficiency, quality and scalability of these analytical activities.

These solutions range from Python‑based engineering applications and automation tools through to digital workflows, multidisciplinary analysis platforms and AI‑enabled technologies. The team's roadmap includes the adoption of advanced AI approaches, numerical AI models and agentic AI workflows to transform how engineering analysis is performed across the business.

About the Role:

As a Senior Engineer – Analysis Software Development, you will lead the creation of software solutions that automate, streamline and enhance engineering analysis activities across Rolls‑Royce SMR.

Operating at senior practitioner level, you will design, build and scale enterprise-grade digital products, automation workflows and AI-enabled solutions that support engineering analysis throughout the organisation. You will combine hands-on technical delivery with product-focused thinking, ensuring solutions are secure, maintainable, compliant and aligned to the wider Digital, Data & AI strategy.

You will also provide technical review and oversight of software developed elsewhere across the engineering organisation, supporting software quality, governance and continuous improvement while helping identify opportunities where software and AI can deliver significant engineering value.

We’ll Need You To:

• Design, build and maintain secure, scalable digital applications and software solutions for engineering analysis
• Develop automation workflows and software tools that improve engineering efficiency and quality
• Develop and integrate AI-enabled capabilities, including numerical AI solutions and agentic AI workflows
• Support the development of multidisciplinary analysis solutions and digital engineering capability
• Implement DevOps, CI/CD, testing and software quality best practices
• Ensure solutions meet security, export control, data governance, auditability and compliance requirements
• Support the definition of product vision, outcomes and value propositions for Engineering Analysis
• Contribute to roadmap planning, sprint activities, prioritisation and MVP development
• Work closely with Analysis Engineers, Data Scientists, AI specialists, Digital Twin teams and software platform teams
• Align software solutions with Digital Thread, Digital Twin and enterprise architecture principles
• Provide technical oversight, governance and peer review of software developments
• Support stakeholder engagement, demonstrations and adoption activities across the business
• Coach and mentor colleagues involved in software development activities

Key Skills Required:

We know there’s no such thing as the ‘perfect’ candidate. If you meet around 75% of the criteria below, we’d love to hear from you:

Software Engineering

• Strong experience developing software solutions for engineering or scientific applications
• Experience with Python and similar development technologies
• Experience designing secure, scalable software applications and workflows
• Experience implementing DevOps, CI/CD and software testing frameworks
• Knowledge of software architecture and modern engineering development practices
• Experience developing AI-enabled tools, automation solutions or data-driven applications

Engineering Analysis & Numerical Methods

• Understanding of engineering analysis workflows and the challenges faced by engineering users
• Understanding of verification, validation and uncertainty quantification principles
• Knowledge of numerical methods used within engineering analysis
• Appreciation of quality management approaches for engineering software and analytical tools
• Experience within high-integrity or highly regulated industries would be advantageous

Product & Digital Development

• Experience contributing to product roadmaps, prioritisation and agile delivery approaches
• Ability to translate user requirements into effective software solutions
• Experience balancing technical excellence with business value and user adoption
• Understanding of cloud, AI and enterprise digital technologies

Technical Governance & Quality

• Experience reviewing and assuring technical outputs produced by others
• Understanding of software governance, configuration management and quality assurance
• Ability to establish and maintain robust software development standards
• Commitment to secure-by-design and compliance-first engineering principles

Stakeholder Engagement

• Strong communication and stakeholder management skills
• Ability to collaborate across multidisciplinary engineering and digital teams
• Experience working with architects, engineers, software specialists and external partners
• Ability to explain complex technical concepts to both technical and non-technical audiences

Qualifications:

• Degree qualified in Computer Science, Software Engineering, Data Science, AI, Engineering, Physics, Mathematics or a related STEM discipline
• Equivalent professional experience will also be considered
• Relevant certifications in Azure, Cloud Architecture, DevOps, Security or Agile methodologies are advantageous

Location:

Hybrid working with one of the following as your primary site:

Derby, Manchester or Warrington

Salary and Package:

The salary band for this role will be between £50,650 – £66,500 dependent on the skills, values and knowledge you bring. There may be flexibility in exceptional cases.

Benefits include:

• Bonus – Performance‑related target opportunity up to 12.5%
• Benefits Allowance – £2,200 per annum for a bespoke package
• Pension – 12% employer and 6% employee contributions
• Holidays – 28 days (+ public holidays) with the ability to buy or sell up to 5 days
• Private Medical Insurance – BUPA single cover
• Life Assurance – 6× pensionable pay
• Home Office Support – £250 one‑off payment for new starters

Selection Process:

The closing date for this role is 9th September 2026. The process will begin with an introductory call with the Talent Acquisition Partner, with interviews being able to take place straight away.