From cloud to edge, Arm provides the compute platforms behind today’s most advanced AI, trusted by innovators worldwide. Backed by SoftBank VF.
About the role
In this role, you’ll design and evolve the solutions that allows ML software and systems to be exercised, measured, and understood at scale. You won’t be writing individual tests - you’ll be designing the systems that make large-scale ML validation and performance analysis possible .
What they're looking for
- Strong experience in software development or automation (Python required)
- Experience with modern Python development - object-oriented design and tools such as uv and ruff
- Familiarity with Docker and CI/CD systems (Jenkins, GitLab, or GitHub)
- Comfortable developing on Linux or Mac
- Good communication skills, inter-cultural awareness and you embrace diversity
More about this role
Do you want to shape the frameworks that ensure the world’s ML workloads run successfully on Arm technology?
We’re looking for an experienced and analytical engineer to design and develop software that powers ML validation across our next-generation platforms.
We are a team of engineers passionate about understanding and improving Machine Learning performance across Arm’s diverse ecosystem.
Our mission is to develop scalable, efficient, and trusted workflows that enable ML software to release on time and to quality, across CPUs, GPUs, NPUs, and emerging compute architectures.
We create the frameworks, automation and other tooling that power ML performance analysis, system validation, and large-scale verification across our board farms and pre-silicon environments.
In this role, you’ll design and evolve the solutions that allows ML software and systems to be exercised, measured, and understood at scale.
- Developing frameworks and tooling for running ML workloads and benchmarks across heterogeneous Arm platforms and board farms.
- Automating execution, data collection, and visualization pipelines to streamline quality and performance assessment.
- Collaborating closely with ML...
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