Senior ML Software Engineer

A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers to tackle some of the most challenging problems at the intersection of software, hardware and performance engineering. The team focuses on understanding how complex distributed systems behave at scale, using measurement, modelling and simulation to guide design decisions long before systems are deployed.

In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There is significant scope to influence both technical direction and the growth of the team.

You will build models that simulate the behaviour of large-scale compute systems, helping teams understand performance, scalability and efficiency before making architectural decisions. This is a deeply technical role where you will:

• Design and build simulation frameworks for complex distributed systems
• Model compute, memory and communication behaviour across large-scale workloads
• Analyse bottlenecks and evaluate architectural trade-offs
• Run benchmarks and performance experiments on production-grade systems
• Validate simulation results against real-world measurements
• Partner with software, infrastructure and research teams to ensure models reflect practical constraints
• Produce clear technical recommendations backed by data and analysis

Strong computer science fundamentals with a solid understanding of systems design and performance. Experience working with distributed systems, high-performance computing, or machine learning infrastructure. Strong analytical skills and an interest in modelling complex systems. Experience benchmarking and profiling large-scale workloads. Understanding of parallel and distributed execution concepts. Excellent programming skills in Python, C++ and/or Rust. Comfortable working across software and infrastructure boundaries. Strong communication skills and the ability to explain complex technical concepts clearly.

This is an opportunity to work on problems that sit at the intersection of software, systems and performance engineering, helping shape the design of highly sophisticated computing platforms.