About this role
Production is seeking a Staff Software Engineer to join the Ray Data team in San Francisco on a full-time basis. This role is ideal for an experienced distributed systems expert eager to build and scale foundational infrastructure for modern AI workloads.
Role Overview
The Staff Software Engineer, Ray Data position involves designing, building, and improving the core systems that power Ray Data. The professional in this role will focus heavily on performance, scalability, and reliability while working closely with customers and AI-native companies to solve complex scaling challenges.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Production is commercializing Ray, a popular open-source project creating an ecosystem of libraries for scalable machine learning. Prominent organizations like OpenAI, Uber, Spotify, Instacart, and Cruise utilize Ray in their tech stacks. Backed by Andreessen Horowitz, NEA, and Addition, the organization has raised over $250 million to date and maintains partnerships with Azure, CoreWeave, and Google Cloud.
How to Apply
Interested candidates should visit the official company careers page to submit their application for the Staff Software Engineer, Ray Data position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Staff Software Engineer position?
The annual salary for this role is between $240,000 and $270,000 USD.
Where is this job located?
This position is located in San Francisco and is an on-site, full-time role.
How many years of experience are required?
Candidates must have 6+ years of experience building production-grade software, infrastructure, or developer-facing systems, along with personally owning core architectural decisions within a distributed data or compute engine.
What primary programming language is required?
Strong Python engineering experience is required for this role.
What benefits are included with employment?
Benefits include health, dental, and vision coverage with many plans up to 99% employer-covered, flexible time off, paid parental leave, and mental health support.
