NVIDIA

1 month ago

Senior Software Engineer, AIOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead the development of a mission-critical AIOps platform that ingests massive telemetry from GPU clusters, automates incident response, and surfaces intelligent alerts. You’ll build distributed systems at scale, design data storage strategies for high-quality training data, and own model-serving infrastructure across SaaS and on‑prem deployments, enabling real-time dashboards and proactive operational decisions.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions with real-time dashboards and automatic root-cause analysis.
•Research, evaluate, and prototype data storage strategies across databases to ensure AI models are trained on high-quality data for better predictive accuracy.
•Design distributed systems to handle extreme telemetry density for large-scale AI clusters, enabling efficient data ingestion, processing, and real-time analysis.
•Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.
•Build and own the model-serving infrastructure that deploys, versions, and monitors AI models in SaaS and on-prem environments.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.

Experience:8+ yearsAIDistributed systemsMLSaaS

Education:Bachelor's in Computer Science

Skills:Problem-solvingCommunicationCollaborationLeadership

Languages:English

Tech Stack:GoC++RustKubernetesDockerMLModel serving

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Software Engineer, AIOps

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions with real-time dashboards and automatic root-cause analysis.
•Research, evaluate, and prototype data storage strategies across databases to ensure AI models are trained on high-quality data for better predictive accuracy.
•Design distributed systems to handle extreme telemetry density for large-scale AI clusters, enabling efficient data ingestion, processing, and real-time analysis.
•Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.
•Build and own the model-serving infrastructure that deploys, versions, and monitors AI models in SaaS and on-prem environments.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.

Experience:8+ yearsAIDistributed systemsMLSaaS

Education:Bachelor's in Computer Science

Skills:Problem-solvingCommunicationCollaborationLeadership

Languages:English

Tech Stack:GoC++RustKubernetesDockerMLModel serving

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor