> Markdown version of [/jobs/ext/3073176-senior-data-backend-engineer](https://www.wearedevelopers.com/jobs/ext/3073176-senior-data-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Backend Engineer - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Augmented Reality, User Authentication, Big Data, Computer Programming, Computer Engineering, Extract Transform Load (ETL), Data Mining, Distributed Systems, Apache Hive, Python (Programming Language), Language Modeling, Open Source Technology, SQL Databases, Data Streaming, System Software, Workflow Management Systems, Parquet, Data Logging, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Deep Learning, Generative AI, Backend, Kubernetes, Information Technology, Build Tools, Data Management, Data Pipelines, Golang, Microservices - **Published:** September 25, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Data-Backend-Engineer_JR2020354 ## About the Role * Experience developing high-performance, scalable software systems. * MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. * Strong programming skills in Python or Golang * Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. * Strong architectural skills with a proactive, problem-solving mentality. * Experience in data mining | AI development * Experience building ETL pipelines and working with big data engines. * Exceptional collaboration skills to work with system software and AI expert teams. * Eagerness to learn and adopt new technologies such as NVIDIA RAPIDS. Ways to Stand Out from the Crowd: * Prior experience with large-scale real-time streaming, augmented reality, or data curation. * Prior background with Spark. * Exposure to the latest advances in AI, including Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation (RAGs). * Innovative results, including patents, publications, or open source contributions. ## Description NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: * Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. * Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. * Deploy AI models. * Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. * Analyze and operationalize complex distributed systems for speed-of-light performance. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)