System Analysis Engineer

Arbetsbeskrivning

Job Overview:
We are looking for a champion with a strong analytical mindset to join our team and help ensure the best ML performance with most recent Arm ML software, systems and IP. To be successful in this opportunity we believe you have a couple years of experience in software engineering with a passion for analysis and improvements, are flexible, quick to learn and motivated by the opportunity to understand and improve the performance of future Machine Learning solutions using Arm technology.
You have good communication skills, inter-cultural awareness and you embrace diversity.
Are you our next team member?


Responsibilities:
As a member of the ML System Analysis team you will conduct performance analysis investigations to gain insights and help influence the direction of Machine Learning software. We work in small teams, so your contributions will make a difference.
You will engage with specialists across Arm, including software and systems teams to understand, explore and challenge the limits of performance capabilities.
You will use sophisticated 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.


Required Skills and Experience :
Experience with SW development in languages such as C, C++, Python
Confirmed software engineering experience in the industry
Ability to distil, pick out and present key findings from large amounts of data.



“Nice To Have” Skills and Experience :
Experience with pre-silicon platforms such as Models, RTL simulation, emulation or FPGA.
Experience with working with Linux
Data analysis and visualisation, for example Jupyter Notebooks

Sammanfattning

  • Arbetsplats: Arm Sweden AB Lund
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 22 maj 2024
  • Ansök senast: 1 juni 2024

Postadress

Emdalavägen 6
Lund, 22369

Liknande jobb


Civilingenjör IT

20 december 2024

Machine Learning Engineer - ML Imaging

Machine Learning Engineer - ML Imaging

20 december 2024

20 december 2024