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Senior Software Engineer, Fleet Intelligence Backend

NVIDIA· Engineer, Sys SW
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US, CA, Santa Clara, US, WA, Seattle$152k - $241.5kFull-timePosted 1mo ago

About the role

Senior Software Engineer to build backend systems powering GPU health monitoring, telemetry ingestion, operational automation, and fleet visibility for NVIDIA’s high-performance GPU infrastructure within the DGX Cloud / Fleet Intelligence team.

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 for reliable service behavior.
  • 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.

Qualifications

  • 5+ years of industry software engineering experience with a 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.

Skills

Required:GoREST APIsPostgreSQLDistributed systemsCloud, Docker, Kubernetes, Helm
Nice to have:Authentication/Authorization

Benefits

  • Equity
  • Benefits (as described by company)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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