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NVIDIA

Senior Data Backend Engineer

NVIDIA

Senior Backend Engineer at NVIDIA building high-performance AI data pipelines for autonomous vehicles. Collaborating on microservices, ETL, and data management for scalable solutions.

Posted 6/29/2026full-timeRemote • Oregon • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsETLGoKubernetesMicroservicesPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
High-Performance Software DevelopmentScalable Software SystemsData MiningDistributed Systems AnalysisWorkflow Orchestration
Soft Skills
CollaborationProblem-Solving