HPC Application Engineer

Location: Woking, GB

Location: Woking 

Job Type: Permanent  

Contract Duration: Permanent

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:  

  • Part of the HPC team, reporting to the HPC Team Leader
  • Flexibility in working hours is required

Key Relationships: 

  • HPC Team Leader and other members of the HPC team
  • HPC users – CFD methodology team and aerodynamicists

Principal Accountabilities:  

  • 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
  • Collaboration with leading Universities and external partners in order to develop and exploit the latest advancements in HPC technology. 
  • Assist in hardware and software upgrade programmes to implement these new technologies
  • 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
  • Provide Linux administrative skills and support to the HPC users
  • 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:  

  • A degree in Computational Science or related subject
  • Knowledge and experience in application profiling, HPC system performance tuning
  • Excellent knowledge of Linux, shell scripting, python and javascript
  • Knowledge and experience with databases: both SQL and no-SQL
  • Knowledge of HPC hardware including clusters, storage and interconnects
  • Knowledge and experience with system and process virtualization
  • Knowledge and experience with HPC batch job schedulers
  • Knowledge of data analytics and machine learning techniques would be an advantage

Personal Attributes: 

  • A team player but with the initiative to make own decisions and work with minimal supervision
  • Self-starter, able to identify requirements independently, then make proposals for solutions
  • Good communication skills
  • Excellent problem-solving skills and analytical approach, with attention to detail
  • Aptitude to learn from others and share knowledge with others
  • High level of personal commitment, availability on weekends and out of hours may be required

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