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Nvidia Senior Data Automation Engineer 
Israel, North District 
25007666

10.11.2025
Israel, Yokneam
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

What you'll be doing:

  • Design, develop, and deploy automation solutions, dashboards, and analytical tools using Python Build and maintain data pipelines and workflows to improve data integrity and streamline data flows across systems

  • Participate as a data analyst and technical contributor incross-functional taskforces addressing critical manufacturing and quality challenges

  • Perform system characterizations and collaborate with internal teams to identify opportunities for optimization and delivercustom solutions

  • Develop machine learning and AI-driven solutions for anomaly detection, quality control, and predictive analytics

  • Present technical insights and recommendations to stakeholders and drive data-informed decision-making

What we need to see:

  • BSc inComputer Science,Engineering, Information Systems, or relevant field

  • 5+ years of hands-on software development and data analysis experience

  • Strong proficiency in Python with experience in data science libraries (Pandas, NumPy, SciPy, Matplotlib)

  • Experience with machine learningframeworks (Scikit-learn,XGBoost) and AI/ML platforms

  • Proven track record of building automation tools, scripts, and production-ready software solutions

  • Experience with SQL and working with large-scale datasets Proficiency with version control systems (Git)

  • Experience in dashboard development and data visualization tools (Streamlit, Plotly, Dash, Power BI or similar)

  • Excellent communication and collaboration skills with ability to work across multiple teams Self-driven with a problem-solving mindset and ability to translate business needs into technical solutions

Ways to stand out from the crowd:

  • Background in manufacturing, yield engineering, or product engineering environments

  • Experience deploying ML models in production environments

  • Familiarity with CI/CD practices and automated testing