Senior Software Engineer, Fleet Intelligence Backend

NVIDIA•Santa Clara, CA

1d•$152,000 - $287,500

About The Position

NVIDIA is seeking a Senior Software Engineer to join its DGX Cloud / Fleet Intelligence team. The role builds backend systems for GPU health monitoring, telemetry ingestion, operational automation, and fleet visibility across NVIDIA’s high-performance GPU infrastructure. The position focuses on backend services for GPU health, Fleet Intelligence, telemetry ingestion, inventory, attestation, alerting, reporting, and cloud operations automation. It includes designing Go services, REST APIs, and data models; developing ingestion and persistence systems; and operating scheduled services that support fleet operations. The engineer will work with cloud and observability technologies and collaborate with agent, infrastructure, SRE, UI, and cloud operations teams to deliver scalable and reliable systems. The role also involves improving reliability, security, observability, testing, and deployment quality across Docker, Kubernetes, Helm, and cloud environments. The listed base salary ranges are $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4, depending on location, experience, and pay of employees in similar positions. The employee will also be eligible for equity and benefits.

Requirements

At least 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 frameworks such as Gin or similar.
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.

Nice To Haves

Background with telemetry, monitoring, observability, health, or fleet-management platforms.
Experience with AWS services such as MSK, Aurora, S3, SQS, AMP, or CloudWatch.
Experience with OpenTelemetry, Prometheus, LightStep, Grafana, or production tracing/metrics systems.
Background with NVIDIA GPUs, DGX systems, DCGM, XID analysis, attestation, or AI datacenter operations.
Experience designing APIs and storage systems that support real-time operational workflows at fleet scale.

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.
Work with Aurora PostgreSQL, Kafka/MSK, S3, SQS, Prometheus/AMP, and OpenTelemetry-based observability.
Build and 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 turn operational workflows into scalable backend systems.
Improve service reliability, security, observability, testing, and deployment quality across Docker, Kubernetes, Helm, and cloud environments.