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Senior Software Engineer - Machine Learning Frameworks

Job LocationManchester
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Job Overview:Are you a skilled and motivated engineer with a strong background in optimised system design such distributed systems and high-performance concurrency We are building the future of computing, on Arm. We want to make Arm-based hardware the natural choicefor ML in the datacenter. To that end, we truly believe that major machine learning frameworks used to run AI must be highly performant.Our team is a diverse, dedicated and inclusive group from all over the world based in Arms stylish offices at the heartof Manchester. We work on all aspects of researching, developing and delivering highly optimised ML frameworks into the Arm ecosystem across many ML models. This role will directly contribute to key open source ML frameworks such as TensorFlow and PyTorch.In addition, Arm is owner and advocate of the underlying technologies, such as Compute Library, that act as basic building blocks to form the high-quality and performant software. In collaboration with colleagues from Manchester and Cambridge you will workon delivering optimised software for server-class hardware, and integrate it with ML software frameworks and libraries for deployment on our partners hardware. We work with exciting technology, help to implement new algorithms, and optimise for the latestArm server hardware. Our work has high impact in the ML ecosystem, with possibility to engage with partners and the community.Responsibilities:Your role as a Senior Software Engineer will require you to:

  • Optimise ML software to utilise the full potential of Arms line of Neoverse cores for datacentre and cloud uses-cases at high core counts.Work with development teams based from compilers and libraries to extend the capabilities of Compute Library to meetthe unique demands of ML workloads on servers.Improve Compute Library API to support flawless integration with ML frameworks.Extend ML frameworks to simplify integration with Compute Library
Required Skills and Experience :
  • Software development, with very good programming skills, preferably C++ and Python.Excellent understanding of parallel programming primitives and constructs.Ability to quickly investigate and debug large software frameworks.Optimising code for performance.Areal passion for software development.Very good interpersonal, collaboration and communication skills.Curiosity to make a positive impact, both in our team, and in the wider Arm ecosystem.A degree, or higher, in a computational or numerate subject, or experiencein a related field.
Note: Training may be provided if you have only a subset of these key skills!“Nice To Have” Skills and Experience:The following is a selection of skills used across our projects.You do not need to have experience with any of these to apply or succeed in your application.
  • Experience with one or more of: NEON, SVE, SVE2, and Arm assembler.Experience with TensorFlow, PyTorch, ONNXRuntime, and/or oneDNN.Open source community citizenship including code commits and reviews.Basic Linux administration, particularly installationand maintenance.
In Return:You will be joining an outstanding company! We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions; which enables collective innovation and creativity, and supports your professional and personalgrowth. In addition, we enjoy 25 days of annual leave as well as progressive parental leave, support for flexible and hybrid working, and many other benefits that Arm offers. #LI-JB1

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