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Experienced Performance Analysis Engineer
5 months ago
The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the performance of future Machine Learning solutions using Arm technology.
Are you our next team member?
Job Overview:
As a member of the ML System Analysis team you will explore, analyse, and influence the direction of Machine Learning performance on Arm IP and systems.
You will use datacentre IP hosted in the cloud to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML performance and quality.
We collaborate closely with other specialists across Arm, including software, IP, and Systems teams to understand, explore and challenge the limits of performance capabilities.
Responsibilities:
Build, run and analyse performance tests on a range of IP and ML software.
Analyse and understand workloads, systems and performance expectations.
Produce technical summaries for a range of audiences, based on detailed analysis and interpretation of results.
Share knowledge and influence others, both within ML Group and wider across Arm.
Required Skills and Experience :
You have experience working with SW development or automated testing. Good python knowledge is essential.
You have a passion for analysis and improvements.
A high level of pro-activity, initiative, and problem-solving skills; as well as willingness to take on varied technical challenges.
You have strong communication skills; inter-cultural awareness and you embrace diversity.
“Nice To Have” Skills and Experience :
If you have some knowledge about factors which influence device performance, working with continuous integration or cloud infrastructure, or some familiarity with data analysis that would be great too Experience engaging with stakeholders and balancing requirements would also be valuable.
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.
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