The DGX Cloud organization at NVIDIA brings together cutting-edge hardware and
software innovation to deliver industry-leading accelerated computing for the
world's most adventurous AI workloads. We're a team of innovative engineers
dedicated to solving some of the world's biggest challenges, constantly driving
advancements, and impacting millions of lives worldwide

We are looking for an outstanding Systems Software Engineer with deep experience
in distributed systems, open-source technologies such as Kubernetes and
containers, and a strong background in systems performance and scalability. The
idóneo candidate brings broad, end-to-end experience across the stack - from GPU
operator and device plugins to distributed inference serving and cloud platforms
- along with the technical depth to investigate and address exciting, real-world
problems at scale. In this pivotal role, you will take on the challenge of
scaling AI infrastructure while optimizing total cost of ownership, driving down
cost per token to unlock the next generation of AI innovation and AI factories





What you'll be doing:

* Drive end-to-end performance and scale characterization for the NVIDIA DGX
Cloud software stack, from Kubernetes control and data planes through NVIDIA
components such as GPU Operator, Network Operator, DCGM, NIM, and distributed
inference serving, following issues from orchestration down to the metal.

* Collaborate with AI researchers, developers and customers to develop
innovative, automated tests that simulate real user workloads using
custom-built and leading open-source tools and frameworks.

* Deep dive into performance and scale issues in complex distributed systems,
including interactions between Kubernetes and the NVIDIA software stack, to
identify and resolve root causes.

* Design and develop monitoring, reporting and analysis tools for performance
and scale testing across software, GPU and CPU resources.

* Triage, debug and root cause issues related to operating Kuber

📌 Systems Software Engineer, Kubernetes Scale (España)
🏢 NVIDIA
📍 España