Senior Systems Engineer - Commissioning and Characterisation

About the job

Explore how a next-generation AI architecture behaves from rack scale to data centre scale.

As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will work on problems where answers aren't readily known, turning curiosity into measurable evidence.

You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn this into new measurements.

Your work will help infrastructure engineers, architects and application specialists understand system behaviour, performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics.

You do not need to be an AI expert. You will need strong judgement, curiosity and a clear preference for evidence over opinion. You will love this role if you are someone who takes initiative, questions assumptions and enjoys working in areas where the answers are not yet known.

The team and culture

The System QA team is distributed across multiple locations. We work hard to stay connected and collaborate closely. Our daily team meetings feel more like a virtual coffee break than a formal status update with space to share ideas, ask questions, discuss discoveries and solve problems together.

We value trust, autonomy and openness, and we understand that great engineers don't all follow the same career path. What matters is the quality of your work, your curiosity, and your willingness to explore challenging problems.

You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other.

One of our core principles is that we measure and report what we observe without trying to make results look better or worse than they are.

What we're looking for

• Comfortable using Python to write tests, automate tasks, analyse data or develop practical engineering tools.

• Strong analytical and problem-solving skills.

• A curiosity-driven approach to investigating complex systems.

• Ability to explain technical findings clearly, using accurate and reproducible evidence.

• Confidence to work independently, take responsibility and collaborate across engineering teams.

• Experience in some of the following would be valuable: AI workloads and benchmarking, systems architecture, parallel and distributed computing, automation, containers or modern orchestration infrastructure