below marketmost similar roles pay hereabove market
This role pays less than
56%
of similar roles. Most pay
$187,850–$235,750
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$212k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Systems Software Engineer, GPU Fleet Telemetry joins the DGX Cloud / Fleet Intelligence team to build agent-side systems for collecting GPU health, host telemetry, inventory, attestation evidence, and BMC data across a GPU fleet. You will design and develop Fleet Intelligence agent software for Linux hosts, bare metal systems, and Kubernetes GPU nodes. Responsibilities include building telemetry for DCGM, NVML, drivers, CUDA runtime, InfiniBand, and networking, while maintaining local APIs, Prometheus metrics, and OTLP/HTTP export paths. You will contribute to open source software, manage .deb/.rpm packaging, and develop out-of-band collection using Redfish/BMC interfaces. Required skills include Go development, Rust, Linux systems knowledge, and experience with Docker, Kubernetes, Helm, and production deployment workflows to solve GPU fleet observability and cloud operations automation.
5+ years of industry software engineering experience.
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 (preferred).
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.