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Nvidia Senior HPC Engineer 
China, Beijing, Beijing 
185168989

27.10.2025
China, Beijing
China, Shanghai
China, Shenzhen
time type
Full time
posted on
Posted 4 Days Ago
job requisition id

What you will be doing:

  • Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.

  • Be the domain expert with customers during planning calls through implementation.

  • Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!

  • Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.

  • 4+ years providing in-depth support and deployment services, solving problems for hardware and software products.

  • Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, bootprocedures/troubleshooting,performancereporting/optimization/logging,network routing/advanced networking (tuning and monitoring).

  • Cluster management technologies.

  • Scripting proficiency.

  • Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.

  • Strong organizational skills and ability toprioritize/multi-taskeasily with limited supervision.

  • Industry-standard Linux certifications.

  • Experience with Schedulers such as SLURM, LSF, UGE, etc.

Ways to stand out from crowd:

  • InfiniBand or Ethernet Experience.

  • Experience with GPU-focused hardware/software.

  • Experience with MPI.

  • Automation tooling background (Ansible, Salt, Puppet etc.).

  • knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.