About The Position
NVIDIA is seeking a Senior Software Engineer to join the DGX Cloud / Fleet Intelligence team. This role focuses on building agent-side systems that collect GPU health, host telemetry, inventory, attestation evidence, and BMC data across NVIDIA’s GPU fleet. The position involves contributing to open-source software used by developers, operators, and customers working with NVIDIA GPU infrastructure. The role emphasizes Fleet Intelligence in-band agent and out-of-band collector systems for GPU health monitoring, host and BMC telemetry, inventory, attestation, diagnostics, and cloud operations automation.
Requirements
- 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.
- Experience 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.
Nice To Haves
- Background with NVIDIA datacenter GPUs, DGX systems, DCGM, NVML, CUDA, GPU drivers, XID/SXID events, or GPU diagnostics.
- Experience building host agents, node agents, collectors, monitoring daemons, or Kubernetes daemonsets.
- Background with Redfish, BMCs, firmware inventory, secure boot state, PCIe device inventory, or hardware attestation.
- Experience with OpenTelemetry, Prometheus, OTLP gateways, or metric/log export pipelines.
- Experience operating software in AI, HPC, cloud, or large-scale datacenter environments.
- Track record of meaningful open source contributions in systems software, observability, Kubernetes, Linux, hardware telemetry, Rust, or Go ecosystems.
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.
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
