Lead Simulation Engineer

DoorDash, Inc

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $198,600–$292,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $245k

$123k most similar roles pay here $310k

This role pays more than 87% of similar roles. Most pay $151,757–$213,375 — the shaded band above. At the midpoint, this role pays about $245k versus about $183k for comparable roles.

Based on 239 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 · Lead Simulation Engineer

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As a Lead Simulation Engineer at DoorDash Labs in San Francisco, you will lead the development of an end-to-end aerial autonomy simulation stack, focusing on high-fidelity flight dynamics modeling, sensor and perception simulation, and software-in-the-loop integration. You will design scalable infrastructure for continuous validation and regression testing, build cloud-deployed systems for large-scale parallel testing, and mentor a small team while setting technical standards. Ideal candidates have extensive experience in robotics or physics-based simulation, deep expertise in simulator internals, and a track record of architecting complex systems from scratch. Familiarity with modern simulators like MuJoCo and hands-on experience with robotic or UAV systems are essential. This role demands strong system-level thinking to balance fidelity, scalability, and development velocity in the context of aerial autonomy at scale.

Skills

Python C++ MuJoCo Gazebo Isaac Kubernetes AWS CI/CD PostgreSQL Docker Git GitHub Linux ROS Rigid-body dynamics Numerical integration methods Constraint solving formulations Collision detection algorithms Rendering pipelines Sensor simulation

What you'll do

Architect and implement an end-to-end simulation stack for aerial autonomy.
Develop high-fidelity flight dynamics, contact modeling, sensor simulation capabilities.
Design scalable infrastructure for regression testing and continuous validation.
Build cloud-deployed systems for large-scale parallel testing and pilot training.
Mentor a small team of simulation engineers while remaining hands-on.

What we're looking for

Master’s or PhD in a relevant technical field.
10+ years of experience in robotics or physics-based simulation.
Deep expertise in simulator internals and numerical methods.
Proven track record of architecting complex systems from scratch.
Experience implementing simulators from scratch, either professionally or personally.
Strong technical leadership demonstrated in senior roles.
Familiarity with modern robotics simulators like MuJoCo, Gazebo, Isaac.

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