Description
As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads.
You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale.
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.
The System QA team is distributed across multiple locations, working hard to stay connected and collaborate closely.
We value trust, autonomy and openness, and understand that great engineers don't all follow the same career path.
Benefits include flexible working, generous leave, retirement planning support, phantom equity, workplace experience, peace of mind protection, flexible benefits and optional benefits.
Requirements:
- 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