Software Automation Specialist

NVIDIA is seeking a Software Automation Specialist to join its Quality Control Team in Yokneam. The successful candidate will design and implement AI-powered quality processes and automation frameworks, build and maintain automations to streamline quality tracking, and leverage AI tools and large language models to accelerate root cause analysis.

Responsibilities:

• Design and implement AI-powered quality processes and automation frameworks that go beyond traditional QA methods.
• Build and maintain automations to streamline quality tracking, reporting, and alerting , from smart dashboards to automated reporting pipelines.
• Leverage AI tools and large language models (LLMs) to accelerate root cause analysis, anomaly detection, and incident prediction.
• Track and analyze customer quality incidents, applying AI-assisted techniques to identify patterns, resolve issues faster, and prevent reoccurrence.
• Assist in driving software quality from concept to release delivery using data-driven KPIs and quality targets.
• Explore and introduce emerging AI methodologies to improve the quality mindset across engineering teams.
• Contribute to quality process improvement initiatives and help maintain quality process documentation and records.

Requirements:

• B.Sc. in Computer Science, Software Engineering, or another relevant technical degree.
• 2+ years of experience in software development, QA, or SW quality roles.
• Hands-on experience with AI tools, LLMs, and automation workflows , especially Claude, web-building tools, and AI-assisted development environments.
• Demonstrated ability to think creatively, challenge existing processes, and push things forward independently.
• Outstanding interpersonal and communication skills , comfortable working with global teams and presenting ideas clearly across levels.
• Strong analytical mindset with the ability to translate data into actionable quality insights.
• Organized, independent, and able to juggle multiple workstreams.
• Fluent English , written and spoken.

Nice to Have:

• Proven track record of using AI to automate or improve a quality or engineering process.
• Experience building AI-assisted workflows, prompt engineering, or integrating LLM APIs.
• Familiarity with Networking protocols and technologies.
• Experience with Agile/DevOps methodologies.
• Proficiency with BI tools and data visualization.