Senior Data Backend Engineer

NVIDIA is a global leader in high-speed computer vision, artificial intelligence, and deep learning. The company is seeking a senior engineer to design and optimize high-performance microservices, data pipelines, and distributed systems that support autonomous vehicle data mining and AI training. The role also involves deploying AI models and developing Retrieval-Augmented Generation workflows.

Responsibilities:

• 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

Requirements:

• 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
• 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