2 days ago
Cambridge, United KingdomSenior
Responsibilities
- Design, implement, maintain, and improve industrial optimisation software and related numerical modelling components.
- Investigate and resolve complex mathematical, algorithmic, and software engineering problems independently.
- Own technically challenging work items and make implementation decisions with minimal supervision.
- Work effectively within an established and partially legacy codebase while identifying thoughtful technical improvements.
- Apply mathematical reasoning to modelling, optimisation, and algorithmic challenges.
- Improve code robustness, performance, quality, and maintainability through debugging, profiling, diagnosis, and automated unit and regression testing.
- Demonstrate potential to lead technical projects or workstreams without initially having formal leadership responsibility.
- Provide guidance, coaching, and technical support to less experienced developers.
Requirements
- Strong mathematical background supported by an MSc, PhD, or equivalent experience.
- Programming ability in at least one relevant language, such as C++, C, C#, or Fortran.
- Experience in numerical modelling or mathematically intensive software development.
- Relevant industrial, research, or advanced technical experience.
- Ability to work effectively in a complex and evolving codebase and communicate technical concepts clearly.
- Potential to lead projects or technical workstreams.
- Experience or background in applied mathematics, theoretical physics, operations research, mathematical engineering, numerically focused computer science, computational science, modelling, simulation, or similar analytical fields is relevant.
- Experience with build and meta-build systems, debugging tools, performance and memory profilers, source control, and continuous integration or continuous development is desired.
- Experience with Git and Azure DevOps is desired.
- Background in linear algebra and/or Lagrangian analysis is highly desirable.
- Strong problem-solving, critical-thinking, coaching, collaboration, influencing, conceptual-thinking, and technical-leadership abilities.
Benefits
- Flexible benefits fund, emergency leave days, adoption leave, 28 days of annual leave plus bank holidays, pension, life cover, private medical insurance, parental leave, and an education assistance program.
- Full-time position based in Cambridge, United Kingdom, with hybrid working and an expectation for most roles to be on-site 50% of working hours; the specific arrangement will be confirmed during hiring.
- Successful applicants must pass drug screening and a comprehensive background check before employment.
- AVEVA provides reasonable accommodation during the application and hiring process.
About AVEVA
AVEVA builds industrial engineering, operations, and data-management software used by energy, process, infrastructure, and manufacturing companies. Its portfolio spans 3D design and simulation, HMI/SCADA and MES, asset performance, and the PI System for real‑time operational data, sold via enterprise licenses and cloud subscriptions. The company is headquartered in Cambridge, UK, and is a subsidiary of Schneider Electric following its 2023 acquisition and LSE delisting.