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Staff ML System Integration and Test Engineer

ARM Β· Lund, Software Engineering, Sweden

Posted 4 days ago

About this role

We are looking for an experienced software/hardware engineer with a strong analytical approach to join the team and help ensure the best quality with most recent Arm ML software, systems and IP. The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the quality of future Machine Learning solutions using Arm technology. Are you our next team member? Job Description: As an ML Engineer you will develop test infrastructure for our fully automated test flow, including functional and performance testing, as well as visualisation and report generation of the results

We use advanced pre-silicon platforms of next-generation systems, to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML performance and quality. Required Skills and Experience : We’re looking for someone who follows up when something seems off, takes ownership beyond their assigned tasks, and pushes past team limitations to drive the right outcome. Great python knowledge is essential

Comfortable developing on Linux or Mac You have experience working with SW development or automated testing. You have strong communication skills, inter-cultural awareness and you embrace diversity. β€œNice To Have” Skills and Experience : Experience from building test infrastructure Experience working with pre-silicon platforms

Familiarity with Docker and CI/CD systems (Jenkins, GitLab, or GitHub). Understanding of ML frameworks, compilers, or model execution flows . Familiarity with data analysis

In Return: At Arm, you will enjoy working in a highly stimulating collaborative environment. Our team works closely with other software, hardware and system teams across the company. You will have a chance to share ideas with and learn new skills from the best engineers in the world

We work in small teams, so your contributions will really make a difference. #LI-CM1 Accommodations at Arm At Arm, we want to build ext

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