Supply Chain Data Engineer

NVIDIA is seeking a high-caliber, hands‑on data engineer specializing in supply chain to act as the ultimate data custodian. This person will build the foundation for our fully coordinated forecasting and supply chain ecosystem. In this critical role you will form a tight team with our Principal Modeling Engineer and report directly into executive leadership. Your mission is to replace manual workflows with automated, production‑grade data pipelines. You will personally compose, curate, and maintain the massive datasets—encompassing semiconductor wafers, memory, substrates, and critical long‑lead‑time sub‑assemblies—that feed our multi‑billion‑dollar simulation engines. Responsibilities Personally compose, write, and scale automated data pipelines using SQL and Python to extract, transform, and load large supply chain datasets from internal and external systems. Serve as the primary guardian of data quality: build automated validation scripts to catch anomalies, missing inputs, and historical mismatches before they enter our advanced planning frameworks. Build and improve automated pipelines that feed downstream machine learning and AI models, ensuring data is clean, low‑latency, and accurately prepared for advanced computation. Architect and maintain highly optimized data tables, views, and schemas specifically structured for rapid querying by our unified computational systems. Partner with the team to deconstruct legacy, decentralized planning workflows and systematically migrate them into automated, centralized data environments that tie forecasting directly to procurement. Sync closely with engineering, global procurement, operations, and IT teams to unearth hidden data sources and standardize core supply‑chain metrics. Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience. Mastery in SQL and Python (specifically data manipulation libraries like Pandas) is non‑negotiable. 7+ years of data‑pipeline experience: proven track record of personally building and running automated ETL/ELT pipelines in a production setting. Deep experience working with relational databases, data warehouses (e.g., Snowflake, BigQuery), or large enterprise ERP systems (like SAP or Oracle). Extreme detail orientation: a hyper‑focused mindset regarding data integrity, resolving missing cells or formatting glitches in million‑row datasets. High autonomy: comfortable operating with loose initial guidelines to build robust, production‑ready pipelines from scratch. Ways to Stand Out From the Crowd Prior experience building data infrastructure within semiconductor, electronics, or large‑scale technology hardware supply chains. Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software (e.g., MATLAB, advanced Python packages). Familiarity with workflow orchestration tools (like Apache Airflow or dbt) or basic infrastructure used to support machine‑learning pipelines (DataOps). Experience cloud‑architecting supply‑chain master data (AWS, Azure, GCP). Compensation and Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000–$230,000 USD for Level4, and $184,000–$287,500 USD for Level5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July14,2026. NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal‑opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA Corporation