Senior Data Backend Engineer

NVIDIA develops data engineering solutions for AI developers in autonomous vehicle (AV) domains. We're seeking a Senior Data Backend Engineer to design and optimize microservices and data pipelines for processing massive volumes of AV data, enabling seamless data mining and AI training.

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.
• Master's degree with 6+ years or Bachelor's degree 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 and 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.

Preferred Qualifications:

• 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.