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Mapping Vehicle Jobs in California (NOW HIRING)

Data Scientist - Mapping

Foster City, CA ยท On-site

$176K - $240K/yr

Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment. In ...

Senior Software Engineer, Mapping

Palo Alto, CA ยท On-site

$165K - $210K/yr

As one of our earliest engineering hires, you'll shape the cloud, mobile, and on vehicle ... Integrate with external mapping/navigation APIs to power route planning, turn-by-turn directions ...

The Incumbent performs the duties of a Motor Vehicle Operator, responsible for picking up orders ... Skill to read and understand a road map to determine the shortest and safest route. * Knowledge of ...

... of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider ... The Waymo Mapping team's goal is to build a high resolution map of the world to support safe ...

Localization and Mapping * Vehicle Control, Planning, and Decision Making Your job scope will involve selecting and working with both cutting-edge techniques as well as proven, off-the-shelf ...

Showing results 21-40

Mapping Vehicle information

See California salary details

$13

$26

$38

How much do mapping vehicle jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for mapping vehicle in California is $26.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.82 per hour, depending on experience, location, and employer.

What does a typical workday look like for a mapping vehicle operator?

A typical day for a Mapping Vehicle Operator involves driving designated routes in a specialized vehicle equipped with mapping cameras and sensors, following detailed route plans to ensure comprehensive geographic data collection. Operators frequently check equipment functionality, log collected data, and report any technical issues to a central support team. The role is primarily independent but often includes coordination with mapping supervisors and technical staff to address routing challenges or special data requests. As routes and conditions can vary, adaptability is important, and travel is frequently required, sometimes including overnight assignments depending on project areas.

What is a mapping vehicle?

A Mapping Vehicle job involves operating a specialized vehicle equipped with cameras, sensors, and GPS technology to collect geographic and street-level data. This data is used for mapping services, navigation systems, and geographic analysis. Operators are responsible for driving predetermined routes, ensuring data accuracy, and maintaining the vehicle and equipment. The role may require attention to detail, ability to follow instructions, and occasional troubleshooting of technical issues.

What are the key skills and qualifications needed to thrive in the mapping vehicle position, and why are they important?

To thrive as a Mapping Vehicle Operator, you need a valid driver's license, strong attention to detail, and good navigational skills, often supported by a clean driving record and familiarity with mapping technologies. Experience with GPS, cameras, LiDAR systems, and computer tablets is typically required, alongside basic technical troubleshooting abilities. Reliability, problem-solving, and strong organizational skills make a candidate stand out, as do the capacity to work independently and communicate effectively. These skills ensure accurate data collection and smooth operation in the field, which are critical for creating high-quality geographic information products.

What job categories do people searching Mapping Vehicle jobs in California look for? The top searched job categories for Mapping Vehicle jobs in California are:
Infographic showing various Mapping Vehicle job openings in California as of August 2026, with employment types broken down into 59% Full Time, 27% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,498 per year, or $26.2 per hour.

Data Scientist - Mapping

Zoox

Foster City, CA โ€ข On-site

$176K - $240K/yr

Full-time

Medical, Life, PTO

Re-posted 21 days ago


Job description

High-definition HD maps are foundational to enabling safe, scalable autonomous driving. We are seeking highly motivated engineers who are passionate about solving complex, real-world problems and building state-of-the-art mapping systems.
In this role, you will collaborate with a diverse, cross-functional team to design and develop large-scale HD mapping algorithms, workflows, and data pipelines. Your work will directly impact our ability to efficiently map new cities and continuously update existing maps at scale, playing a critical role in accelerating our autonomous vehicle deployment.
In this role, you will:
  • Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
  • Design and build tools for model performance benchmarking and introspection
  • Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance.
  • Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc

Qualifications:
  • BS or MS in Computer Science or a related field and 3+ years of experience
  • Experience in computer vision and machine learning algorithms
  • Proficient in Python
  • Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data.
  • Experience with large-scale, multi-modal datasets, benchmarking and introspection
  • Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications

Bonus Qualifications:
  • Experience with Perception systems
  • Knowledge of geospatial data and coordinate systems
  • Ability to write highly complex, optimized SQL queries for massive distributed databases
  • Databricks experience

$176,000 - $240,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.