1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Design and develop Go backend services, REST APIs, and data models for GPU Health and Fleet Intelligence.
- Build customer-facing and agent-facing APIs for compute zones, node groups, nodes, alerts, events, metrics, inventory, attestation, retention policies, and reports.
- Develop high-volume ingestion and persistence paths for in-band agents and out-of-band collectors.
- Operate scheduled backend services for liveness tracking, alerting, rollups, cleanup, notification delivery, attestation, and XID analysis.
- Optimize database schemas, partitioned time-series storage, query performance, CTE-heavy queries, and connection pooling.
- Collaborate with agent, infrastructure, SRE, UI, and cloud operations teams to build scalable backend systems.
- Improve service reliability, security, observability, testing, and deployment quality across cloud environments.
Requirements
- 5+ years of industry software engineering experience.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
- Strong Go backend development experience.
- Experience building REST APIs and production services using Gin or similar frameworks.
- Strong PostgreSQL experience, including schema design, query tuning, transactions, migrations, and operational data modeling.
- Experience with distributed systems, event pipelines, telemetry ingestion, or operational analytics.
- Experience with cloud infrastructure, Docker, Kubernetes, and Helm.
- Strong debugging skills across APIs, databases, cloud services, and production systems.
- Familiarity with authentication and authorization patterns such as JWT, service account keys, trusted-edge proxies, or customer-scoped APIs.
- Experience with Linux-based development and production environments.
- Preferred experience with telemetry, monitoring, observability, health, fleet-management platforms, AWS services, OpenTelemetry, Prometheus, LightStep, Grafana, production tracing and metrics systems, NVIDIA GPUs, DGX systems, DCGM, XID analysis, attestation, AI datacenter operations, and fleet-scale real-time operational workflows.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay; the stated ranges are $152,000-$241,500 for Level 3 and $184,000-$287,500 for Level 4.
- Applications will be accepted at least until October 26, 2026.
Tech Stack
Categories
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.