Senior Software Engineer, Bulk/Interactive Inference
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
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationMountain View, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
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 ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.
We’re looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.
In this hybrid role, you will report to the Head of ML Platform- Senior Staff Software Engineer.
You will:
- Develop Waymo's inference platform to make it scalable, high throughput, and low latency
- Work closely with other teams across Waymo in hosting both internal and external ML models, including LLMs
- Improving the efficiency of running inference on these large models to increase throughput and save cost
- Deploy and integrate model inference solutions across a variety of use cases, such as distillation, eval, dataset generation, active learning, and auto-labeling
You have:
- 5+ years of professional experience in the field of software engineering
- Experience in programming C++
- Experience with building highly scalable distributed system
We prefer:
- Passionate about building internal infra and tools
- Experience with building model hosting and inference solutions
- Experience with handling datasets in the order of exabytes
#LI-Hybrid
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 4,273 Software Engineering roles in California listed on this site; 29 others list the same floor. Their median floor is $176,362; 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, Bulk/Interactive Inference$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, Bulk/Interactive Inference (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
- 2025-12-16
Where this pay comes from
Location as the employer wrote it: Mountain View, CA, USA
$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.