Senior Data and Automation Engineer at NVIDIA

Yokneam Ilit, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Analysis, Machine Learning, AI, SQL, Data Visualization, Automation, Collaboration, Problem Solving, Software Development, Data Pipelines, Dashboard Development, Version Control, Data Integrity, Predictive Analytics, Anomaly Detection

Industry

Computer Hardware Manufacturing

Description

We are looking for a Senior Data & Automation Engineer to join our Product Analytics team and drive data-driven solutions, automation, and analytics tools across our manufacturing operations. If you're passionate about building impactful systems, have strong software engineering skills combined with data analytics expertise, and thrive in a collaborative environment, we'd love to hear from you! 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 in cross-functional task forces addressing critical manufacturing and quality challenges Perform system characterizations and collaborate with internal teams to identify opportunities for optimization and deliver custom 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 in Computer 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 learning frameworks (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 NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Design, develop, and deploy automation solutions and analytical tools for manufacturing operations. Collaborate with cross-functional teams to address manufacturing and quality challenges through data-driven insights.