Building and maintaining the tools our researchers depend on every day.
Turning research into capabilities reliable enough to depend on in the field.
Owning the testing and automation that keeps it all dependable.
About you
You're a generalist, comfortable wearing several hats - debugging a kernel crash one week, refactoring test harnesses the next, building a tool a researcher will use every day after that. Moving between low- and high-level languages comes naturally, and you reach for the right level of abstraction rather than your favourite one.
Good engineering standards matter to you: version control and tidy branching, code review and documentation worth reading. That holds even when the people around you are heads-down on the research.
The things that don't show up in a demo are what you care about - code that's still legible in six months, the test that catches a regression before the customer does, the tool that makes the next person faster. Better to build something the whole team can rely on than something only you can maintain. Ask when you don't know, share when you do, pick teammates up when they get knocked down.
Much of the best work in this field can't be talked about publicly, and a track record without public artefacts is no obstacle for us. We're also open to candidates with non-traditional backgrounds.
Nice to have
- Industry experience building developer and researcher tools, testing, CI, or automation frameworks.
- Experience in taking research work through to deployable products or capabilities.
- Comfort working close to the metal: kernels, firmware, embedded systems, or similar.
- Familiarity with assembly and reverse engineering concepts - enough to follow what the research team is doing and build tooling that fits how they work.
- Experience working with file formats, protocols, and parsing - a solid grasp of how data is structured on disk and over the wire, and how to handle input that isn't always clean or well-formed.
- Experience maintaining long-lived software where reliability genuinely matters.
- Open-source contributions, public projects, or conference talks.
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