Senior GPU Fleet Telemetry Engineer - Open Source Focus

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

6 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Software Engineer to join the DGX Cloud / Fleet Intelligence team. You will build agent-side systems for GPU health, host telemetry, and inventory across NVIDIA’s GPU fleet, contributing to open source software used by developers and operators.

The role focuses on in-band and out-of-band collection, Docker/Kubernetes deployments, and production workflows, with strong emphasis on telemetry, security, and distributed backend integration.

Qualifications

  • 5+ years of industry software engineering experience with a Bachelor's or Master’s in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

Responsibilities

  • Design and develop Fleet Intelligence agent software for Linux hosts, bare metal systems, and Kubernetes GPU nodes.
  • Build telemetry and health collection for NVIDIA GPUs, DCGM/NVML, drivers, CUDA runtime, InfiniBand, containers, kernel/OS state, CPU, memory, disk, and networking.
  • Develop inventory, enrollment, node identity, local state, attestation, and backend export workflows; maintain local API, Prometheus metrics, file export, and OTLP/HTTP export paths.
  • Contribute to open source Fleet Intelligence agent and collector software, including code, tests, docs, release artifacts, and community-facing practices.
  • Collaborate with backend, infrastructure, SRE, security, and datacenter teams to deliver reliable GPU fleet observability.

Skills

Go development
Linux expertise
Rust (willing)
Telemetry
Docker Kubernetes Helm
Open source contributor
Security credentials handling

Education

Bachelor's or Master's in CS/CE/EE

Tools

Docker
Kubernetes
Helm
Prometheus
OpenTelemetry

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Software Engineer to join the DGX Cloud / Fleet Intelligence team. You will build agent-side systems for GPU health, host telemetry, and inventory across NVIDIA’s GPU fleet, contributing to open source software used by developers and operators.

The role focuses on in-band and out-of-band collection, Docker/Kubernetes deployments, and production workflows, with strong emphasis on telemetry, security, and distributed backend integration.

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