HPC SYSTEMS ENGINEER

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.