The role of Performance Engineer requires to:
In this role you will focus on analysing and enabling optimal performance and power efficiency for advanced machine learning and compute workloads on next-generation Arm IPs and systems, including emerging architectural features such as the Scalable Matrix Extension (SME). You'll work with pioneering pre-silicon platforms: software models, RTL simulation, emulation, and FPGA environments. These platforms are critical for assessing and validating these next-generation designs. Another core aspect of the role is work on evaluating and tuning neural network execution across frameworks like LiteRT, ONNX Runtime, and the Arm Compute Library (ACL) to fully exploit the capabilities of brand-new Arm hardware to achieve the best performance to power ratio. You will also work on low-level system software and develop advanced debugging skills in a pre-silicon context.
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