This role pays more than
91%
of similar roles. Most pay
$135,000–$202,482
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
893 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 871 roles with salary data.
As a Senior Data Backend Engineer, you will join the team developing data engineering solutions to empower developers in autonomous vehicle domains. You will design and optimize microservices, distributed applications, and high-performance pipelines to process massive volumes of video data for mining and AI training. Your daily responsibilities include building tools for streaming, resilience, logging, security, authentication, and workflow orchestration while deploying models and developing Retrieval-Augmented Generation workflows. The role requires proficiency in Python or Golang, along with experience in Kubernetes, Helm, Hive, Parquet, SQL, and vector databases like Milvus. You will solve complex problems regarding data curation, behavioral search, and dataset management using big data engines and ETL pipelines. Candidates should possess strong architectural skills to manage distributed systems for high-performance results while collaborating with system software and AI expert teams.
Build tools, microservices, and distributed applications to accelerate data mining and AI training.
Design and implement solutions for streaming, resilience, logging, security, and workflow orchestration.
Develop Retrieval-Augmented Generation (RAG) workflows featuring hybrid and agentic patterns.
Deploy AI models and manage large-scale datasets for autonomous vehicle domains.
Optimize complex distributed systems to achieve high-performance, "speed-of-light" execution.
Build ETL pipelines and process massive volumes of data using big data engines.
Manage video data curation, behavioral search, and automated dataset management systems.
What we're looking for
MS with 6+ years of experience, or BS (or equivalent) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related field.
Strong programming skills in Python or Golang.
Proficiency in Kubernetes, Helm, Hive, Parquet, SQL, and vector databases like Milvus.
Experience building ETL pipelines and working with big data engines.
Experience developing high-performance, scalable software systems and distributed applications.
Experience in data mining and AI development.
Prior experience with Spark (preferred).
Exposure to LLMs, Vision-Language Models, or RAG workflows (preferred).
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing