Senior AI Data Pipeline Architect

NVIDIA; California (MO); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior technical leader to design and optimize microservices and data pipelines for autonomous vehicle AI data processing. The role focuses on high-throughput streaming, scalable ETL, and RAG workflows, partnering with AI researchers and software engineers to push performance and reliability.

You will work on distributed systems, data mining, and AI model deployment, leveraging NVIDIA RAPIDS and modern data technologies to accelerate training and inference at scale.

Qualifications

• Experience developing high-performance, scalable software systems.
• MS with 6+ years, or BS with 8+ years of relevant experience in CS/CE or related field.
• Strong programming skills in Python or Golang.
• Proficiency in Kubernetes, Helm, Hive, Parquet, SQL, vector databases like Milvus.
• Strong architectural skills with a proactive problem-solving mentality.

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.

Skills

Python

Golang

Architectural design

Education

MS in Computer Science/Engineering

BS in Computer Science/Engineering

Tools

Kubernetes

Helm

Hive

Parquet

SQL

Milvus

Job description

NVIDIA is seeking a senior technical leader to design and optimize microservices and data pipelines for autonomous vehicle AI data processing. The role focuses on high-throughput streaming, scalable ETL, and RAG workflows, partnering with AI researchers and software engineers to push performance and reliability.

You will work on distributed systems, data mining, and AI model deployment, leveraging NVIDIA RAPIDS and modern data technologies to accelerate training and inference at scale.