Senior Data Backend Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a senior technical leader to design and optimize high-performance AI data pipelines in Santa Clara, CA. The role focuses on building microservices, distributed systems, and RAG workflows for large-scale AV/AI data processing.

Ideal candidates have 6+ years with MS or 8+ years with BS in CS/CE or related fields, strong Python or Go skills, and experience with Kubernetes, Hive, Parquet, SQL, and Milvus. Equity and benefits apply.

Qualifications

• Experience building high-performance, scalable software systems.
• Proficiency in Python or Go with strong problem-solving skills.
• Experience with data mining or AI development and distributed data pipelines.

Responsibilities

• Scope and build tools, microservices, and distributed apps to accelerate data mining and AI training.
• Design and implement streaming, logging, security, authentication, orchestration, and data management solutions.
• Deploy AI models and optimize RAG workflows for hybrid/agentic patterns.
• Analyze and optimize complex distributed systems for speed and reliability.

Skills

Python

Golang

Education

MS in CS or related field

BS with 8+ years of experience

Tools

Kubernetes

Helm

Hive

Parquet

SQL

Milvus

Job 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.

What we need to see:

• 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.

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 October 5, 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.