1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Design and develop Fleet Intelligence agents for Linux hosts, bare metal systems, and Kubernetes GPU nodes.
- Build GPU health, host, BMC, inventory, attestation, diagnostic, and cloud-operations telemetry systems.
- Maintain local APIs, Prometheus metrics, file exports, and OTLP/HTTP export paths.
- Develop Kubernetes DaemonSet deployments, systemd service packaging, Debian and RPM packages, and container image workflows.
- Contribute code, tests, documentation, release artifacts, and engineering practices to open source Fleet Intelligence software.
- Develop out-of-band collection through Redfish and BMC interfaces for inventory, GPU attestation, metrics, and logs.
- Improve collector concurrency, rate limiting, retries, credential handling, partial-failure handling, and backend submission semantics.
- Collaborate with backend, infrastructure, SRE, security, and datacenter operations teams on GPU fleet observability.
Requirements
- 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, command-line interfaces, agents, or daemons.
- Rust experience or strong willingness to work in Rust.
- 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 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.
- Preferred experience includes NVIDIA datacenter GPUs, DGX systems, DCGM, NVML, CUDA, GPU drivers, XID/SXID events, GPU diagnostics, host agents, collectors, Kubernetes DaemonSets, Redfish, BMCs, firmware inventory, secure boot, PCIe device inventory, hardware attestation, OpenTelemetry, Prometheus, OTLP gateways, and large-scale AI, HPC, cloud, or datacenter environments.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until October 23, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.