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Senior Hardware System Engineer

NVIDIA· Engineer, Product Development
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Yokneam, Israelfull-timePosted 7mo ago

About the role

System Failure Analysis Engineer responsible for end-to-end investigations of product failures across hardware, software, firmware, and mechanical domains. Leads multidisciplinary analyses, defines debug strategies, and collaborates with cross-organizational teams to identify root causes and systemic risks.

Responsibilities

  • Hands-on Lab Investigation: advanced debugging, characterization, reproductions of failures in the lab, using sophisticated lab equipment to validate hypotheses.
  • Multidisciplinary Failure Analysis: lead deep-dive investigations into system-level failures analyzing software, firmware, hardware interactions.
  • Root Cause Ownership: drive investigation lifecycle from symptom to physics-of-failure or logic-error identification.
  • Task Force Leadership: orchestrate cross-organizational technical task forces with HW, SW, Mechanical, and NPI teams.
  • Advanced Data & AI Integration: use data analysis tools and AI-driven methodologies to correlate failure patterns with telemetry and RMA history.
  • Customer Quality Support: interact with Customer Quality Engineers and provide deep technical evidence for quality reports and presentations.
  • Strategic Lab Direction: define high-level debug strategy and complex test plans; guide hardware engineers on characterization and system-level stress testing.

Qualifications

  • Lab Proficiency: expert-level experience with lab equipment and complex characterization of state-of-the-art hardware.
  • System Engineering Depth: B.Sc/B.Tech in Electrical Engineering or related technical field.
  • Product Development Experience: 5+ years in Product Development, System-Level Debugging, or Architecture.
  • Full-Stack Debugging Skills: ability to troubleshoot issues across hardware, software, and firmware interfaces.
  • Data Fluency: experience with data analysis tools; interest in applying AI/ML to automate and scale failure analysis.
  • Leadership Presence: ability to lead technical teams through high-pressure investigations and communicate findings to engineering and quality stakeholders.

Skills

Required:Lab debugging and characterizationSystem-level debuggingLeadership and cross-functional collaboration
Nice to have:Data analysis and AI/ML awareness
Last updated Jul 3, 2026. Interested? Apply on the company site.

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