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# Software Engineer, Infrastructure - Autonomy & Robotics

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States
- **Salary:** $159,800.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Quality, Continuous Integration, Data Structures, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Motion Planning, Distributed Simulation, SQL Databases, Apache Spark, Kubernetes, Information Technology, Apache Flink, Terraform, Docker
- **Published:** May 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9f0228fa0773f9a0

## About the Role

Do you have experience in Terraform?, Do you have a Bachelor's degree?, * A B.S., M.S., or PhD. in Computer Science, Robotics or related technical field

 * In-depth knowledge of data structures and algorithms.
 * Strong Python programming experience
 * Experience with operationalizing large-scale systems
 * Experience with at least one distributed data processing framework (Ray, Spark, Flink, etc)
 * Passionate about software quality and reliability
 * Nice to have:
*

 + C++
 + SQL
 + Kubernetes
 + Docker
 + Terraform
 + Experience with GPU-accelerated systems
 + Robotics domain experience/knowledge

## Description

We're hiring an Infrastructure Software Engineer. In this role, you'll work with multiple stakeholders, including Autonomy Engineering and Operations, to develop and improve our infrastructure. The Infrastructure team designs, builds, and operates the infrastructure that enables large-scale simulation testing, continuous integration, and machine learning.

You're excited about the role because you will…

 * Have significant scope and decision-making responsibility
 * Design and implement infrastructure to enable autonomous vehicle development, including:
*

 + Large-scale distributed simulation execution
 + Ingest, processing, and organization of petabyte-scale datasets
 + GPU-accelerated distributed computing for data preparation and training
 * Design and implement robot data and metrics pipelines
 * Collaborate with core autonomy teams: motion planning, perception, and simulation


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