System Failure Analysis Engineer

Join NVIDIA's trailblazing team in Israel and contribute to our groundbreaking advancements in AI, gaming, and computer graphics. As a System Failure Analysis Engineer, you will play a crucial role in ensuring our networking systems perform perfectly! NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing

• Leading technical investigations across multiple domains, working closely with customers, CMs, HW, SW, and SPE teams.
• Analyzing logs, telemetry, and system diagnostics from field-deployed systems to identify failure modes and error conditions.
• Evaluating RMA claims to resolve their validity and recommend next steps, such as RMA approval or additional testing.
• Identifying trends and recurring issues by aggregating and comparing data across various customer environments.
• Providing clear summaries, root cause documentation, and actionable recommendations to support decision-making processes.
  
  

• B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related field.
• 4+ years of experience in system-level debugging, post-production support engineering, or field data analysis.
• Proven ability to interpret complex logs, communication protocols, and system-level behavior.
• Strong experience in failure analysis, root-cause isolation, and cross-domain troubleshooting.
• Familiarity with RMA workflows, lifecycle support, and handling critical issues.
• Excellent written and verbal communication skills in English.
• An analytical approach with strong engineering judgment to derive insights from large volumes of data.
• Proficiency with tools and scripting environments used for data slicing, visualization, and statistical correlation (e.g., Python, SQL, Excel, Kibana, Tableau) is an advantage.
  
  

• Background in networking systems.
• Experience with data analysis.
• Knowledge with electronic manufacturing, test, and assembly.
• OS systems knowledge