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Senior Systems Software Engineer, GPU Fleet Telemetry

NVIDIA· Engineer, Sys SW
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US, CA, Santa Clara, Hybrid (US, NY, Remote), Remote$152k - $241.5kFull-timePosted 1mo ago

About the role

Senior Software Engineer role focusing on Fleet Intelligence, designing agent-side and out-of-band collection systems for GPU health, telemetry, inventory, attestation, and cloud operations automation within NVIDIA’s DGX Cloud / Fleet Intelligence team.

Responsibilities

  • Design and develop Fleet Intelligence agent software that runs on 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 and maintain local API, Prometheus metrics, file export, and OTLP/HTTP export paths
  • Build and improve Kubernetes daemonset deployment, systemd service packaging, .deb/.rpm packaging, and container image workflows
  • Contribute to open source Fleet Intelligence agent and collector software, including code, tests, documentation, release artifacts, and community-facing engineering practices
  • Contribute to out-of-band collection using Redfish/BMC interfaces for inventory, GPU attestation, BMC metrics, and logs
  • Improve collector concurrency, rate limiting, retry behavior, credential handling, partial-failure handling, and backend submission semantics
  • Collaborate with backend, infrastructure, SRE, security, and datacenter operations teams to deliver reliable GPU fleet observability

Qualifications

  • 5+ years of industry software engineering experience with a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
  • Strong Go development experience for Linux services, CLIs, agents, or daemons
  • Rust experience, or strong willingness to work in Rust, for out-of-band collector development
  • Strong Linux systems knowledge, including processes, filesystems, networking, service lifecycle, logs, permissions, and host diagnostics
  • Experience with telemetry, observability, health monitoring, or fleet-management systems and with Docker, Kubernetes, Helm, and production deployment workflows
  • Experience contributing to open source projects or working in public repositories with code review, issue tracking, documentation, release notes, and signed commits
  • Familiarity with secure credential handling, enrollment flows, tokens/JWTs, and service-to-service authentication
  • Strong debugging skills across hardware-adjacent software, operating systems, containers, and distributed backend integrations

Skills

Required:GoRustLinuxTelemetry / ObservabilityDocker / Kubernetes / HelmOpen source collaborationSecurity / Credential HandlingDebugging / Performance

Benefits

  • equity
  • benefits (see company benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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