Staff Simulation Engineer

DoorDash, Inc

Confirmed live today High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $245k
$144k $308k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $169,886–$233,775 — the blue band above. At the midpoint, this role pays about $245k versus about $202k 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 97 open roles on FindRole.

Listed pay typically runs $163,800–$240,900 across 96 roles with salary data.

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View all roles at DoorDash, Inc

At a glance

TL;DR · Staff Simulation Engineer

The Staff Simulation Engineer joins the DoorDash Labs team to build an end-to-end aerial autonomy simulation stack from first principles. This technical leadership role involves architecting and implementing high-fidelity simulation capabilities, including flight dynamics modeling, contact modeling, sensor simulation, and autonomy software-in-the-loop integration. You will develop scalable cloud-deployed infrastructure to support regression testing in CI/CD pipelines, mission-level testing, and pilot training. The role requires deep expertise in numerical integration, rigid-body dynamics, collision detection, and rendering pipelines. You will utilize frameworks such as MuJoCo, Gazebo, Isaac, Newton, or Genesis to solve complex problems in UAV flight dynamics and safety-critical autonomous systems. You will also mentor a small team while establishing engineering standards and performance benchmarks for the simulation platform.

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 simulation capabilities.
  • Integrate autonomy software-in-the-loop (SITL) for continuous validation of autopilot software.
  • Design scalable simulation infrastructure for CI/CD regression testing and mission-level scenario generation.
  • Build and deploy cloud-based simulation systems for large-scale parallel testing and pilot training.
  • Establish technical architecture standards, performance benchmarks, and engineering guidelines for the simulation team.
  • Mentor a small team of simulation 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, contact modeling, 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.
  • Experience implementing a simulator from scratch (preferred).
  • Familiarity with modern robotics simulators such as MuJoCo, Gazebo, Isaac, Newton, or Genesis (preferred).

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