Autonomy Platform Engineer

DoorDash, Inc

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$198,600–$292,000 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $245k
$126k most similar roles pay here $310k

This role pays more than 81% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $245k versus about $193k 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 79 open roles on FindRole.

Listed pay typically runs $165,600–$243,500 across 78 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Autonomy Platform Engineer

The Autonomy Platform Engineer joins the DoorDash Labs team to build and evolve foundational software for the autonomy stack across robot and compute platforms. This role involves developing production software and tooling to enable engineers to bring up new hardware, deploy services reliably, and diagnose failures while validating performance across various robot generations. Key responsibilities include maintaining core runtime, middleware, and platform services, as well as improving process orchestration, system observability, and data capture workflows. The ideal candidate possesses strong production C++ and Python skills, with experience in embedded Linux, robotics, or complex mechatronic systems. Technical requirements include knowledge of operating systems, networking, GPU acceleration, and tools like Bazel and Git. Experience with ROS/ROS2 is preferred to solve technical challenges involving hardware boundaries, sensor enablement, and real-time performance within the realm of autonomous vehicle technology.

What you'll do

  • Build and maintain core runtime, middleware, and platform services for autonomy applications.
  • Enable new compute platforms and sensor hardware including cameras and lidar.
  • Improve system processes such as orchestration, messaging, resource isolation, and fault recovery.
  • Develop tools for system observability, performance measurement, and regression detection.
  • Create workflows for reliable data capture, replay, and debugging.
  • Build tooling for provisioning, packaging, deployment, and integration testing.
  • Lead complex debugging across application, middleware, OS, driver, and hardware layers.

What we're looking for

  • Strong production experience in C++ and Python.
  • Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems.
  • Solid understanding of operating systems, concurrency, networking, middleware, drivers, GPU acceleration, storage, or real-time performance.
  • Experience debugging complex problems across multiple software and hardware layers.
  • Experience with profiling, tracing, observability, automated testing, and CI.
  • Familiarity with Bazel, Git, and modern software development practices.
  • ROS/ROS2 or comparable robotics middleware experience (preferred).
  • Experience collaborating in multi-disciplinary teams and communicating technical details across domains (preferred).

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