Purpose of the Role:
The High Performance Computing (HPC) Application Engineer is a key role to maximise performance of our HPC applications, and maintain a high-end HPC service that meets the very demanding requirements of the McLaren Racing’s computational engineering environment. This is an opportunity to work in a fast-paced, innovative high technology environment, focussing on pure performance and exploring a diverse range of new hardware and software technologies in supercomputing.
Role Dimensions:
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Part of the HPC team, reporting to the HPC Team Leader.
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Flexibility in working hours is required (some evenings and weekends).
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This role is predominantly factory based.
Key Relationships:
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HPC Team Leader and other members of the HPC team.
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HPC users – CFD methodology team and aerodynamicists.
Principal Accountabilities:
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Keep abreast of latest HPC and industry developments and investigate the suitability of newly available technologies, including but not limited to: new CPU technologies, HMB memory and high speed infiniband / omnipath interconnect, web-based software technologies and parallel high performance computing applications tuning & optimization. Report back and make recommendations.
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Collaboration with leading Universities and external partners in order to develop and exploit the latest advancements in HPC technology.
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Assist in hardware and software upgrade programmes to implement these new technologies.
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Help to scope, develop, roll out and optimise new and existing web-based tools to improve the applications workflow on the HPC systems, working with the HPC users (CFD methodology engineers and aerodynamicists) to understand their needs.
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Provide Linux administrative skills and support to the HPC users.
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Participate in the day to day operational support of the McLaren Racing HPC estate: manage and solve any hardware and software issues that may arise.
Knowledge, Skills and Experience:
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A degree in Computational Science or related subject.
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Knowledge and experience in application profiling, HPC system performance tuning.
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Excellent knowledge of Linux, shell scripting, python and javascript.
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Knowledge and experience with databases: both SQL and no-SQL.
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Knowledge of HPC hardware including clusters, storage and interconnects.
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Knowledge and experience with system and process virtualization.
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Knowledge and experience with HPC batch job schedulers.
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Knowledge of data analytics and machine learning techniques would be an advantage.
Personal Attributes:
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A team player but with the initiative to make own decisions and work with minimal supervision.
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Self-starter, able to identify requirements independently, then make proposals for solutions.
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Good communication skills.
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Excellent problem-solving skills and analytical approach, with attention to detail.
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Aptitude to learn from others and share knowledge with others.
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High level of personal commitment, availability on weekends and out of hours may be required.