Senior Data Backend Engineer

NVIDIA
Santa Clara, United States
Workplace: HybridFull timeUSD 184,000 - 356,500Function: Software EngineeringExperience: 6-8 yearsEducation: mastersSkills: ["Problem-solving","Collaboration","Architectural thinking","Learning mindset"]

Design and optimize high-performance AI data pipelines for autonomous vehicle domains, building microservices, distributed workflows, and streaming systems to process massive AV datasets. Implement resilient, secure data management with strong observability and workflow orchestration. Enable data mining and AI training, deploy AI models, and develop Retrieval-Augmented Generation (RAG) workflows. Operationalize complex distributed systems for low-latency, high-throughput performance with cross-functional system and AI engineering teams.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Data Backend Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design and optimize high-performance AI data pipelines for autonomous vehicle domains, building microservices, distributed workflows, and streaming systems to process massive AV datasets. Implement resilient, secure data management with strong observability and workflow orchestration. Enable data mining and AI training, deploy AI models, and develop Retrieval-Augmented Generation (RAG) workflows. Operationalize complex distributed systems for low-latency, high-throughput performance with cross-functional system and AI engineering teams.
Location: Santa Clara, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key 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 RAG workflows enabling hybrid and agentic patterns.
  • •Analyze and operationalize complex distributed systems to achieve speed-of-light performance.

Pay and Benefits

Salary: USD 184,000 - 356,500
Equity and Bonus:Equity

Key Requirements

  • •Experience developing high-performance, scalable software systems and distributed applications.
  • •MS with 6+ years or BS (or equivalent) with 8+ years in Computer Science, Computer Engineering, or related technical fields.
  • •Strong programming skills in Python or Golang.
  • •Proficiency with scalable data technologies including Kubernetes, Helm, Hive, Parquet, SQL, and vector databases (e.g., Milvus).
  • •Experience building ETL pipelines and working with big data engines, plus data mining/AI development experience.
Experience:6-8 yearsAutonomous vehiclesArtificial intelligenceDeep learningBig dataDistributed computingETLData miningStreamingRetrieval-augmented generationReal-time streamingData curation
Education:Master's in Computer Science, Computer Engineering, or a related technical field
Skills:Problem-solvingCollaborationArchitectural thinkingLearning mindset
Tech Stack:PythonGolangKubernetesHelmHiveParquetSQLVector databasesMilvusETLBig dataStreamingRAGRetrieval-Augmented GenerationAI modelsNVIDIA RAPIDSSpark

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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