Senior Data Backend Engineer - AI Pipelines & Dist Systems

NVIDIA Corporation; Hillsboro (OR); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior software engineer to design and optimize high‑performance data pipelines and microservices for autonomous vehicle AI data processing. You will architect scalable systems that ingest, curate, and deploy data for AI training at scale.

The role emphasizes streaming, data governance, and retrieval-augmented generation (RAG) workflows, requiring strong Python or Golang skills, Kubernetes, Hive, Parquet, SQL, and vector databases.

Qualifications

• Experience developing high-performance, scalable software systems.
• MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related field.
• Strong programming skills in Python or Golang; proficiency with Kubernetes, Helm, Hive, Parquet, SQL, and vector databases such as Milvus.
• Strong architectural skills with a proactive, problem-solving mentality.
• Experience in data mining and AI development; ETL pipelines and big data engines.
• Excellent collaboration with system software and AI teams.

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

Kubernetes

Helm

Hive

Parquet

SQL

Milvus

Education

MS in CS/CE or related field

BS in CS/CE or related field

Tools

Docker

CI/CD

Job description

NVIDIA is seeking a senior software engineer to design and optimize high‑performance data pipelines and microservices for autonomous vehicle AI data processing. You will architect scalable systems that ingest, curate, and deploy data for AI training at scale.

The role emphasizes streaming, data governance, and retrieval-augmented generation (RAG) workflows, requiring strong Python or Golang skills, Kubernetes, Hive, Parquet, SQL, and vector databases.