Senior Data Platform Software Engineer

NVIDIA
Tel Aviv
Full timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Data-driven thinking","System understanding","Proactive","Curious"]

Develop and own metric-extraction, measurement, and telemetry tools for real-time data collection across NVIDIA hardware used in AI factory solutions. Collaborate with applied-researchers to connect metrics to ML models for predictive maintenance, root-cause analysis, and AIOps. Partner with architects and product managers to understand hardware and roadmaps, and work with data engineers to scale high-resolution diagnostic tools and improve NVIDIA’s ML diagnostic toolkit.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Data Platform Software Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 minutes agoStatus: Live

Job Summary

Develop and own metric-extraction, measurement, and telemetry tools for real-time data collection across NVIDIA hardware used in AI factory solutions. Collaborate with applied-researchers to connect metrics to ML models for predictive maintenance, root-cause analysis, and AIOps. Partner with architects and product managers to understand hardware and roadmaps, and work with data engineers to scale high-resolution diagnostic tools and improve NVIDIA’s ML diagnostic toolkit.
Location: Tel Aviv
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead the development of advanced metric and measurement tools for real-time data collection and processing across NVIDIA AI factory hardware components.
  • •Experiment and iterate with applied-researchers to bridge metrics and ML.
  • •Partner with architects and product managers to understand NVIDIA hardware and roadmap context.
  • •Collaborate with data engineers to enable high-resolution tools at scale.
  • •Iterate quickly to improve NVIDIA’s ML diagnostic and prediction toolkit.

Key Requirements

  • •BSc in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
  • •5+ years of hands-on experience demonstrating deep system knowledge and metric extraction development.
  • •Strong understanding of networking, hardware/software systems, performance behavior, or failure analysis.
  • •Solid understanding of AI/ML modeling and statistics.
  • •Excellent ability to convey and communicate data-based insights to stakeholders and management.
Experience:5+ yearsAI hardwareAIOpsPredictive maintenanceRoot-cause analysis
Education:Bachelor's in Computer Science, Electrical Engineering, Computer Engineering
Skills:CommunicationStakeholder managementData-driven thinkingSystem understandingProactiveCurious

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
Glassdoor: 4.3
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