Senior Software Engineer, Infrastructure - Labs

DoorDash, Inc

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $159,800–$235,000 / yr
Posted: 1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k

This role $197k

$103k most similar roles pay here $249k

This role pays more than 71% of similar roles. Most pay $139,050–$204,875 — the shaded band above. At the midpoint, this role pays about $197k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Senior Software Engineer, Infrastructure - Labs

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As a Senior Software Engineer in Infrastructure at DoorDash's Labs, you will join the core delivery platform team responsible for building autonomous delivery robots. Your role involves collaborating with Autonomy Engineering and Operations to develop large-scale simulation testing, continuous integration, and machine learning infrastructure. You will design and implement systems for distributed simulation execution, petabyte-scale data processing, and GPU-accelerated computing. Additionally, you will create robot data and metrics pipelines while working closely with motion planning, perception, and simulation teams. The ideal candidate has a strong background in Python programming, experience with distributed data processing frameworks like Ray or Spark, and knowledge of Kubernetes, Docker, and Terraform. This role offers significant decision-making responsibility within the context of DoorDash’s ambitious robotics initiatives.

Skills

Python Docker Kubernetes Terraform Ray Spark Flink CI/CD GPU C++ SQL Prometheus Grafana

What you'll do

Design and implement large-scale distributed simulation execution for autonomous vehicle development.
Develop infrastructure to ingest, process, and organize petabyte-scale datasets for machine learning.
Implement GPU-accelerated distributed computing systems for data preparation and training.
Create robot data and metrics pipelines to support autonomy engineering teams.
Collaborate with core autonomy teams on motion planning, perception, and simulation projects.

What we're looking for

B.S., M.S., or PhD in Computer Science, Robotics, or related field
Strong Python programming experience and in-depth knowledge of data structures and algorithms
Experience with operationalizing large-scale systems and distributed data processing frameworks (e.g., Ray, Spark)
Design and implement infrastructure for large-scale simulation testing and petabyte-scale datasets
Collaborate on robot data and metrics pipelines and work closely with core autonomy teams

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