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McLaren Racing has one single mission: To win Grands Prix and World Championships. To design, build and operate a Formula One car at race-winning levels requires focus, ambition, imagination, dedication, and attention to detail.

We are looking for a High Performance Computing (HPC) Application/Systems Engineer to help maximise performance of our HPC applications, maintain a high-end HPC service that meet 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.

The role will be primarily based at the prestigious McLaren Technology Centre with a proportion of the time spent working from home.

The Role

  • 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 interconnects, web-based software technologies and parallel high performance computing application tuning & optimization. Report back and make recommendations.

  • 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 skills and support to CFD methodology engineers and 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.

  • Opportunity to specialise in systems infrastructure or application development.

JOB REQUIREMENTS

Knowledge, Skills and Experience

  • Strong python and/or shell scripting and debugging

  • Excellent knowledge of Linux based systems

  • Administration and use of HPC batch job schedulers.

  • Knowledge and experience of system and process virtualisation.

  • Developed and maintained automation using DevOps tools and processes

  • Familiar with databases: both SQL and no-SQL.

  • Application profiling and performance tuning.

Desirable:

  • Knowledge of HPC hardware including clusters, storage and interconnects

  • Benchmarking techniques and tools

  • Computer architecture, CPU, GPU, Memory and I/O subsystems

  • HPC system and package management tools

  • Networking skills

  • Storage knowledge, HPC parallel file system and general file sharing protocols

  • System and infrastructure monitoring tools

  • In-depth application development with C. C++

  • Robust software engineering principles and knowledge of full software development lifecycle.

  • Knowledge of data analytics and machine learning techniques.

  • Documentation skills.

About You

  • Degree in related subject such as Computer Science, or industry certification

  • Have excellent problem-solving skills and analytical approach, with attention to detail.

  • Self-starter, able to identify requirements independently, then make proposals for solutions.

  • A team player but with the initiative to make own decisions and work with minimal supervision.

  • Aptitude to learn from others, share knowledge with others, and promote continuous improvement of our processes.

  • High level of personal commitment, occasional availability on weekends and out of hours may be required.

  • Good communication skills.

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