The Senior Machine Learning Data Pipeline Engineer will focus on developing scalable data pipelines for autonomous driving foundation models. This role involves creating workflows that help identify data gaps and deliver the right training data efficiently. The engineer will work closely with DNN teams to convert model limitations into reusable engineering solutions. Additionally, the position requires deploying and operating reliable production systems for data pipelines and workflows.

• BS or MS in Computer Science, Mathematics, Electrical Engineering, or a related quantitative field, or equivalent experience.
• 5+ years of experience in software or data engineering.
• Strong Python and SQL skills demonstrated through production services, APIs, or data pipelines.
• Hands-on experience in developing data solutions and optimizing DNN model performance.
• Solid understanding of deep learning, embeddings, and LLM/VLM inference.

• Design, build, and own scalable data pipelines that automate data discovery, selection, and curation.
• Develop workflows that proactively identify model data needs and refine mining strategies.
• Deploy and operate pipelines and workflows as reliable production systems with monitoring and failure recovery.
• Partner with MLEs and data analysts to turn recurring data needs into reusable mining capabilities.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.