Software Engineer, Perception Scaling Evaluation
Company websitewaymo.com (Waymo, opens in new tab)
Base salary $175K to $215K
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 (1 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 Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling software engineers like you to develop multi-modal models and techniques at scale.
Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.
The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.
In this hybrid role, you will report to a Technical Lead Manager.
You will:
- Dive deep into the Waymo Driver’s perception stack and build a deep understanding of its capabilities in various driving conditions
- Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors
- Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology
- Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver
- Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults
- Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews
You have:
- BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
- 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products
- Experience developing and conducting eval for large ML software systems
- Strong experience programming in C++ with robust and efficient code
We prefer:
- MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience
- Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
- Strong software architecture skills
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
$175,000—$215,000 USD
Source: Waymo on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($175,000) is above 47% of the 4,198 Software Engineering roles in California listed on this site; 57 others list the same floor. Their median floor is $176,500; the middle half runs from $149,200 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 listingSoftware Engineer, Perception Scaling Evaluation$175K to $215K
Machine Learning Engineer, Driver Refinement & Validation, Perception$175K to $215K
Machine Learning Engineer, Prediction & Planning$175K to $215K
Silicon Emulation Engineer$175K to $215K
Perception Machine Learning Engineer - Continuous Learning$175K to $215K
Software Engineer, Marketplace Logistic$175K to $215K
Machine Learning Engineer, Marketplace Pricing$175K to $215K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer, Perception Scaling Evaluation (this listing) | $175K - $215K |
| Machine Learning Engineer, Driver Refinement & Validation, Perception | $175K - $215K |
| Machine Learning Engineer, Prediction & Planning | $175K - $215K |
| Silicon Emulation Engineer | $175K - $215K |
| Perception Machine Learning Engineer - Continuous Learning | $175K - $215K |
| Software Engineer, Marketplace Logistic | $175K - $215K |
| Machine Learning Engineer, Marketplace Pricing | $175K - $215K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-12-11
Where this pay comes from
Location as the employer wrote it: Mountain View, CA, USA; San Francisco, CA, USA
$175,000—$215,000 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.
