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NVIDIA

Senior Data Backend Engineer

NVIDIA

. Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training .

Posted 9/22/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing high-performance, scalable software systems, with strong programming skills in Python or Golang. Proficient in deploying AI models and building data engineering solutions for autonomous vehicle domains, while effectively collaborating with cross-functional teams.

Highest-signal resume keywords
Python ProgrammingGolang ProgrammingKubernetesData MiningETL Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
High-Performance Software DevelopmentScalable Software SystemsData Engineering SolutionsAI Model DeploymentDistributed Systems AnalysisWorkflow OrchestrationBig Data EnginesStreaming SolutionsArchitectural SkillsProblem-Solving
Soft Skills
CollaborationProactive MindsetEagerness to Learn
Tools & Technologies
KubernetesHelmHiveParquetSQLMilvusNVIDIA RAPIDSSpark
Industry Keywords
AI DevelopmentAutonomous VehiclesData CurationReal-Time StreamingRetrieval-Augmented Generation

Tech Stack

Tools & technologies
Distributed SystemsETLKubernetesMicroservicesOpen SourcePythonSparkSQLGo

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 workflows enabling hybrid and agentic patterns
  • Analyze and operationalize complex distributed systems for speed-of-light performance
  • Develop data engineering solutions for AI developers in autonomous vehicle domains
  • Process massive volumes of autonomous vehicle data for video data curation, behavioral search, and AI dataset management

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 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
  • 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 technologies such as NVIDIA RAPIDS
  • Prior experience with large-scale real-time streaming, augmented reality, or data curation
  • Prior background with Spark
  • Exposure to Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation
  • Innovative results, including patents, publications, or open source contributions

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