Staff Simulation Engineer

DoorDash, Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$198,600–$292,000 / yr
Posted
66 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $245k
$135k most similar roles pay here $309k

This role pays more than 87% of similar roles. Most pay $168,500–$222,000 — the shaded band above. At the midpoint, this role pays about $245k versus about $195k 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 187 open roles on FindRole.

Listed pay typically runs $144,800–$212,950 across 166 roles with salary data.

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View all roles at DoorDash, Inc

At a glance

TL;DR · Staff Simulation Engineer

Staff Simulation Engineer - Foundry, DoorDash Air is a technical leadership role within DoorDash Labs focused on building an end-to-end aerial autonomy simulation stack. The engineer will serve as the technical authority for simulation architecture, developing high-fidelity capabilities including flight dynamics modeling, contact modeling, sensor and perception simulation, and software-in-the-loop integration. They will design scalable infrastructure to support CI/CD regression testing, mission-level scenario generation, and cloud-deployed systems for large-scale parallel testing and pilot training. The role requires expertise in numerical integration methods, rigid-body dynamics, constraint solving, collision detection, and rendering pipelines. Candidates should be proficient with tools like MuJoCo, Gazebo, Isaac, Newton, or Genesis. This position addresses the technical challenge of creating a robust simulation platform to validate flight autonomy and autopilot software for aerial systems while mentoring a small team of engineers.

What you'll do

  • Architect and implement an end-to-end simulation stack for aerial autonomy.
  • Develop high-fidelity flight dynamics, contact modeling, and sensor perception capabilities.
  • Integrate software-in-the-loop (SITL) to validate autopilot and flight autonomy systems.
  • Build scalable infrastructure for regression testing in CI/CD pipelines and scenario generation.
  • Deploy cloud-based simulation systems to support large-scale parallel testing and pilot training.
  • Establish technical standards, architecture decisions, and performance benchmarks for the simulation platform.
  • Mentor a team of engineers while remaining deeply involved in hands-on implementation.

What we're looking for

  • Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field.
  • 10+ years of experience in robotics or physics-based simulation.
  • Deep expertise in simulator internals including numerical integration, rigid-body dynamics, and collision detection.
  • Experience integrating simulation environments with robotics autonomy stacks.
  • Proven experience architecting complex technical systems from scratch.
  • Demonstrated technical leadership as a Principal Engineer or equivalent senior technical role.
  • Familiarity with modern robotics simulators such as MuJoCo, Gazebo, Isaac, Newton, or Genesis.
  • Experience with aerospace, UAV flight dynamics, or safety-critical autonomous systems.

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