Senior Software Engineer, Simulator Orchestration
Company websitewaymo.com (Waymo, opens in new tab)
Base salary $213K to $263K
Employer-published annual base salary, USD. Advertised base range in Mountain View, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
All places named
- Mountain View, CA
- San Francisco, CA
About this job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Challenge
Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and advanced AI to create a realistic training ground for the Waymo Driver. As we expand autonomous driving into new geographies, complex weather conditions, and next-generation capabilities, our goal is to build a highly adaptable, generic simulator that works across any environment.
The Simulator Orchestration team is at the heart of tackling this scaling challenge. Our mission is to deliver simulation solutions that power evaluation and training across a diverse range of challenging requirements. We are looking for a Senior Software Engineer who is passionate about solving complex evaluation problems with simulation technology and thrives on delivering practical solutions within a vast technical ecosystem.
The Role
This is a hybrid role. As a core contributor to the Simulator Orchestration team, you will focus on solving practical simulation challenges by intelligently configuring and orchestrating simulator features.
You will:
- Architect Simulation Solutions: Drive the simulator development of the environments required for new initiatives, such as complex weather setups, new geography expansions (e.g., left-hand traffic), and adapting the simulator to support next-generation onboard capabilities.
- Design the Orchestration Layer: Design and implement systems that dynamically select and compose simulator features based on the specific environment and context, bringing us closer to a truly universal simulator.
- Navigate Complex Systems: Dive deep into a massive C++ codebase of onboard and simulator code. You are willing to get your hands dirty. You will rely on strong code-reading and debugging skills to trace and resolve complex interactions between different systems, shipping robust, production-ready code.
- Collaborate Across Boundaries: Act as the technical glue between teams. You'll partner closely with partners from Simulator, Eval and Onboard orgs, taking the building blocks they provide and turning them into complete, end-to-end simulation solutions.
What You Bring
We are looking for a strong generalist software engineer who leans heavily toward practical execution and is comfortable navigating large-scale, interconnected systems.
You have:
- Engineering Craftsmanship:
- 5+ years of industry experience in software development.
- Solid proficiency in C++ (preferred) or Python, with a strong ability to read, navigate, and debug large, existing codebases.
- Experience building orchestration, dynamic configuration, or integration layers for large-scale software systems.
- Practical Problem Solving:
- A proven track record of delivering working solutions in highly complex, ambiguous technical domains.
- A pragmatic approach to engineering. You are willing to find compromises and make the right trade-offs to achieve the broader goal, avoiding the trap of over-engineering or getting stuck in "ideal land."
- Collaboration & Communication:
- Exceptional communication skills. You are comfortable navigating ambiguity, negotiating technical boundaries, and building successful partnerships with upstream and downstream teams.
We prefer:
- Deep passion for solving complex evaluation problems with simulation technology to advance autonomous driving.
- Track record in delivering goals via practical solutions.
- Background in fields that rely heavily on complex systems integration, such as autonomous vehicles, robotics, simulation, or large backend infrastructure.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$213,000—$263,000 USD
Source: Waymo on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($213,000) is above 77% of the 4,268 Software Engineering roles in California listed on this site; 29 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Software Engineer, Simulator Orchestration$213K to $263K
Senior Software Engineer, Fleet Response Infrastructure$213K to $263K
Research Scientist, World Model Post-Training$213K to $263K
Senior Data Scientist, Simulation Capacity Optimization$213K to $263K
Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML$213K to $263K
Research Scientist, Map Scalability$213K to $263K
Senior Machine Learning Engineer, Scenes, Traffic Controls$213K to $263K
Chart as a table
| Role | Published base |
|---|---|
| Senior Software Engineer, Simulator Orchestration (this listing) | $213K - $263K |
| Senior Software Engineer, Fleet Response Infrastructure | $213K - $263K |
| Research Scientist, World Model Post-Training | $213K - $263K |
| Senior Data Scientist, Simulation Capacity Optimization | $213K - $263K |
| Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML | $213K - $263K |
| Research Scientist, Map Scalability | $213K - $263K |
| Senior Machine Learning Engineer, Scenes, Traffic Controls | $213K - $263K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-06-03
Where this pay comes from
Location as the employer wrote it: Mountain View, California, United States; San Francisco, California, United States
$213,000—$263,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
