HPC Research Engineer

Position title: HPC Research Engineer

Department: HPC Science Group, Application Team

Location: Tan Binh District, HCMC

Report to: Application Team Manager

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Job summary

To introduce cutting edge technologies to HPC including AI solution, you need to adjust company value-added products, both software & hardware that relates to the customers requirement. Most of requirements are mainly provided by public bidding specification from Japanese government agencies/academic institutions. Responsible for verifying a part of bidding requirements, including function testing or performance benchmarking. There are cases that programming/scripting skill would be also needed to fill the gap of software functionality, performance tool tuning, and so on.

Responsibilities

• Understand specifications, identify key points, and plan effective responses within strict public bidding deadlines.
• Conduct research and testing to ensure requirements are met before proposal submission.
• Collect supporting evidence (manuals, test results, performance data) with logical explanations.
• Collaborate with your mentor or team to study and improve.
• Organize reusable proposal materials for future efficiency.
• Stay open to learning and adapting to new technologies.

• Strong scripting ability on Linux based system.
• Logical, strong analytical thinking & problem finding skills.
• Basic computing infrastructure knowledge and experience
• Computer Architecture (Memory Hierarchy, Paging, Multicore System, Disk and Device I/O, etc.)
• Computer Networking (OSI Model, TCP/IP protocol, DHCP, DNS, DMA etc.)
• Excel in Teamwork and group members.
• Communication skills: Verbal and Written.

Preferred Skills

• Container knowledge including fluent operation skills of Docker or Kubernetes or Singularity are plus.
• HPC knowledge and benchmark tool experience: Linpack, HPL.
• AI/ML knowledge and benchmark tool experience: MLPerf.
• Workload knowledge including fluent operation skills of Slurm or OpenPBS or JupyterHub are plus.
• Parallel file system Lustre or BeeGFS knowledge and benchmark tool experience: IOR or MDTEST or IOZONE are plus.
• Programming skills: C/C++, Fortran, Python

Education
Bachelor Degree in Engineering Electrical, Electronics, Computer Science, Physics or equivalent