NVIDIA is a World Leader in AI Computing and Data Transportation Technologies, and we are now looking for an outstanding Software Automation Specialist to join our Quality Control Team in our Yokneam offices!
We are looking for a bright, innovative, and AI-driven engineer who is passionate about leveraging cutting-edge technologies to redefine software quality. The right candidate brings fresh thinking, a hands-on approach, and the ability to make things happen — independently. You'll challenge conventional processes and pioneer smarter, data-driven and automated approaches to quality, while collaborating with NVIDIA worldwide support teams, internal engineering and production groups, hardware teams, and Program Management groups.
What you'll be doing:
- 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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- 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.
Skills Required
- B.Sc. in Computer Science, Software Engineering, or another relevant technical degree
- 2+ years of experience in software development, QA, or software quality roles
- Hands-on experience with AI tools, LLMs, and automation workflows, especially Claude, web-building tools, and AI-assisted development environments
- Creative, independent approach with the ability to challenge existing processes and drive initiatives forward
- Outstanding interpersonal and communication skills, including presenting ideas clearly across levels
- Strong analytical mindset and ability to translate data into actionable quality insights
- Organization, independence, and ability to manage multiple workstreams
- Fluent written and spoken English
- Experience 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 or DevOps methodologies
- Proficiency with BI tools and data visualization
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
