Senior Solution Architect, AI Compute Engineer - NVIS

Demonstrated hands-on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging.

In-depth understanding of NCCL principles and applications, with expertise in collective communication optimization for NVIDIA GPU clusters.

Experience in deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance

Familiarity with automation tools (Ansible, Salt, Puppet, etc.), capable of implementing batch configuration and operational automation for GPU clusters and LLM deployment environments.

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

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry!

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