This role pays less than
62%
of similar roles. Most pay
$157,000–$221,812
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$189k
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
892 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 870 roles with salary data.
As a Senior Full Stack Software Engineer, Data Platform within the Operations organization, you will be an integral part of developing custom data analysis and production planning tools. You will build, scale, and optimize full stack software from the ground up to support semiconductor chip manufacturing planning, analytics, and custom visualizations for large scale data analysis. Your daily responsibilities include designing front end frameworks, managing complex datasets, and implementing robust solutions for engineering needs. The role requires expertise in JavaScript, TypeScript, Python, Node.js, Svelte/SvelteKit, Vue, React, D3, PHP, Apache, Nginx, PostgreSQL, Athena, and Redshift. You will also utilize Git, CI/CD workflows, and AWS cloud architecture to manage backend processing and infrastructure. This role solves critical manufacturing planning problems by creating tools that connect APIs to visual front end interfaces for complex data analysis.
Python
Go
Java
SQL
Spark
Kafka
Airflow
Cloud Data Warehouses
Data Lakes
Data Pipelines
Microservices
Data Security
Data Observability
Caching
Key/Value Stores
Columnar Storage
Query Federation