Senior Data Backend Engineer

• 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.

• 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.

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• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until September 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.