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Principal Compute Architect

3 weeks ago

Cambridge, Cambridgeshire, United Kingdom ARM Full time
Job Overview:

The Mali GPU Software Architects team is looking for a versatile GPU compute driver architect.

Through performance analysis, feature design and technical expertise, you will set the direction of SW engineering to reach optimal driver, GPU and firmware performance for popular compute and ML APIs such as OpenCL, thereby shaping the future of the Mali GPU products. For this task, you will be working with cross-site, multi-disciplined, teams across Arm's worldwide engineering centres.

Responsibilities:

Working within a diverse group of architects, you will be responsible for devising the high-level implementation designs for new compute- or ML-related features, for optimal performance and ecosystem impact. Your remit also includes studying the existing implementation, looking for improvement opportunities, as well as seeking opportunities for future HW iterations. You will be working closely with R&D, HW teams, lead partners, and customers, as well as providing technical leadership to your engineering teams. Help us shape a product that combines graphics and ML technologies to provide the best user experience in our products

Required Skills and Experience:
  • Strong background in GPU SW architecture, requirements analysis, and software architecture definition
  • Strong background in Vulkan & OpenCL.
  • Have a proactive, analytical and hands-on approach to work.
"Nice To Have" Skills and Experience:
  • Experience of Arm CPU and/or Mali GPU architectures.
  • Experience with an ML framework.
  • Experience of embedded systems or firmware development.
  • Experience of presenting information to a wide, international audience.
  • Experience of holistic software optimisation from bare-metal to high-level.
  • Experience of development in a Linux, Android or similar environments.
In Return:

Influence the design of our high-performance GPU systems used from gaming to AI. Work with a talented team, solving complex challenges. Have a chance to impact the future of GPU computing.

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