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Performance Analysis Engineer
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Cambridge, Cambridgeshire, United Kingdom ARM Full timeAbout the RoleWe are seeking a highly skilled and motivated Performance Analysis engineer to join our diverse team at Arm. Our team focuses on Performance Analysis of Arm-based automotive systems built together in pre-silicon (Virtual Prototypes & FPGAs) and post-silicon environments.Working closely with design teams and customers, we develop best-in-class...
Senior Performance Analysis Engineer
2 months ago
Arm's Machine Learning group is hiring in western Europe Want to help show developers the AI capabilities of efficient, next-generation mobile, server and embedded devices? If so, we should talk
We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We provide analysis, insights, collateral and that we share with our developers, senior stakeholders and the wider ecosystem to make running AI best on Arm.
Responsibilities:We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains - we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear. This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.
We look forward to receiving your application - and potentially welcoming you to Arm.
Required skills and experience:- Good programming skills - preferably Python, C++ and OOP
- Experience of machine learning frameworks such as TensorFlow, ONNX, GGML or PyTorch
- Experience of breaking down machine learning use-cases in a system context and providing insights.
- A desire to have a positive impact both within our team and the wider Arm ecosystem
- Experience of prototyping AI use-cases on a variety of hardware platforms
- Programming mobile GPUs (e.g. using shaders, Vulkan) would be a valuable differentiator
- Experience of profiling system concepts such as bandwidth, power, area, latency and throughput
- Android application development using Android Studio
In return, the successful candidate will get to engage with thought-leaders, key developers and the biggest players on how best to deploy Machine Learning workloads on Arm processors. You'll have the chance to interact with a wide range of engineers from prospective Arm customers through to members of the Arm ecosystem.Write your Job Description here or search the Document library (Everyone's) for similar roles to be used as a base. We are trying to display the essence of the job, by describing goals, responsibilities, objectives, and contributions as shown in below topics rather than a long list of tasks and activities. This is another opportunity to distinguish your role from competitors and help them visualize what the day-to-day would look like.
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