Added
15 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker linux kubernetes c/c++ cuda

๐Ÿ“‹ Description

  • Lead GPU compute platform design and governance.
  • Translate high-level designs into low-level HPC/AI infrastructure blueprints.
  • Collaborate with Program Management Office, Data Center Engineering, and Operations teams.
  • Define reference architectures for high-density AI supercomputers.
  • Drive architecture decisions balancing performance, power, cooling, and cost.
  • Provide documentation and handover materials for production deployments.

๐ŸŽฏ Requirements

  • BSc in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
  • 5+ years of solution architecture experience.
  • Deep expertise in datacenter engineering, GPU systems, and high-performance networking (InfiniBand).
  • Proficiency with OS, Linux kernel drivers, GPUs, NICs, and infrastructure software.
  • Experience producing detailed infrastructure designs (network topologies, rack layouts, BoMs
  • Strong communication and stakeholder management skills.

๐ŸŽ Benefits

  • Competitive benefits package; learning time and cycle-to-work scheme.
  • Private medical insurance via Bupa and Gympass access.
  • Company shares program and enhanced parental pay & leave.
  • 25 days of annual leave and inclusive, growth-oriented culture.
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