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The role involves conducting high-quality research in AI and HPC, shaping future products, and engaging with esteemed research partners across Europe. Responsibilities include optimizing workloads, supporting AI and data-science applications on supercomputers, and collaborating with research consortia.
Job Responsibility:
Perform world-class research while also shaping products of the future
Enable high performance AI software stacks on supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale
Manage modern data-intensive AI training and inference workloads
Port and optimize workloads of key research centers like the AI safety institute
Support onboarding and scaling of domain-specific applications
Foster collaboration with the UK and European research community
Requirements:
A good working knowledge of AI/ML frameworks, at least TensorFlow and PyTorch, as well as the data preparation, handling, and lineage control, as well as model deployment, in particular in a distributed environment
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages is highly desirable
Nice to have:
M.Sc. / Ph.D. in a Science, Technology, Engineering or Mathematical discipline
Experience in one or more domain specific software ecosystems (e.g., weather and climate, computational fluid dynamics, AI, data science)
Experience working on EU projects
Experience working on HPC applications and/or Cloud applications
Experience working with research consortia
What we offer:
Health & Wellbeing benefits that support physical, financial and emotional wellbeing
Career development programs catered to achieving career goals
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