Senior Data Backend Engineer

at Nvidia
📍 Redmond, United States
USD 184,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Kubernetes @ 6 Python @ 7 SQL @ 4 Spark @ 4 ETL @ 4 Distributed Systems @ 4 Helm @ 6 Parquet @ 4 Microservices @ 4 Hive @ 4

Details

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. This role focuses on building high-performance AI data pipelines and microservices to process massive volumes of autonomous vehicle (AV) data, enabling efficient data mining and AI training at scale. The team addresses challenges such as video data curation, behavioral search, and AI dataset management.

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 and design/develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.
  • Analyze and operationalize complex distributed systems for high performance and low latency.
  • Collaborate closely with system software and AI expert teams to integrate solutions.

Requirements

  • Master’s degree in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of experience developing high-performance, scalable software systems.
  • Strong programming skills in Python or Golang.
  • Proficiency with Kubernetes and Helm.
  • Experience with big data technologies such as Hive, Parquet, and SQL.
  • Experience building ETL pipelines and working with big data engines.
  • Experience with vector databases (e.g., Milvus).
  • Strong architectural skills and a proactive, problem-solving mentality.
  • Experience in data mining and AI development.
  • Ability to design and operationalize distributed systems, ensuring performance, resilience, and security.
  • Eagerness to learn and adopt new technologies such as NVIDIA RAPIDS.

Ways to Stand Out

  • Prior experience with large-scale real-time streaming, augmented reality, or data curation.
  • Prior background with Spark.
  • Exposure to the latest advances in AI, including Large Language Models (LLMs), Vision-Language Models, and Retrieval-Augmented Generation (RAGs).
  • Innovative results such as patents, publications, or open source contributions.

Compensation & Benefits

  • Base salary range: 184,000 USD - 287,500 USD (determined by location, experience, and internal pay equity).
  • Eligible for equity and NVIDIA benefits (link to benefits on NVIDIA site).

Other Details

  • Location: Redmond, WA, United States.
  • Employment type: Full time.
  • Applications accepted at least until August 3, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.