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Mapping Driver Jobs in California (NOW HIRING)

NV5

Survey Mapping Drafter

Petaluma, CA · On-site

$35/hr

Map Preparation: * Create maps, plats, and other graphical representations of survey results using ... Valid CA Driver's License The pay range for this position in California is $35.00hr-43.00hr. Base ...

NV5

Survey Mapping Drafter

Petaluma, CA · On-site

$35/hr

Map Preparation: * Create maps, plats, and other graphical representations of survey results using ... Valid CA Driver's License The pay range for this position in California is $35.00hr-43.00hr. Base ...

NV5

Survey Mapping Drafter

Petaluma, CA · On-site

$35/hr

Map Preparation: * Create maps, plats, and other graphical representations of survey results using ... Valid CA Driver's License The pay range for this position in California is $35.00hr-43.00hr. Base ...

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Mapping Driver information

What is a mapping driver?

A Mapping Driver is responsible for driving a designated route to collect geographic and visual data using specialized equipment, such as mapping cameras and GPS sensors. This data is used for updating digital maps, navigation systems, and other geographic applications. The role typically requires attention to detail, familiarity with GPS technology, and safe driving skills. Mapping Drivers often work for tech companies, mapping services, or government agencies.

What does a mapping driver do?

Mapping Drivers usually spend their workdays driving predetermined routes in designated vehicles equipped with cameras and GPS units to collect geographic and street-level data. Each day often starts with a review of assigned routes, equipment checks, and coordination with a mapping team or supervisor. The role involves documenting road changes, landmarks, and other map-relevant features while adhering to set schedules and safety protocols. Mapping Drivers may occasionally report technical issues, adjust routes based on traffic, and upload collected data at the end of their shift. This blend of independent work and team communication makes each day varied and engaging.

What are the key skills and qualifications needed to thrive as a mapping driver?

To thrive as a Mapping Driver, you need excellent driving skills, a clean driving record, and a strong attention to detail, often supported by a valid driver's license and familiarity with navigation routes. Proficiency using GPS mapping equipment, data collection devices, and basic computer software is typically required. Strong time management, reliability, and effective communication help Mapping Drivers stand out. These skills ensure accurate data collection, safe operation, and efficient collaboration with mapping teams and clients.

What are the most commonly searched types of Mapping Driver jobs in California?

The most popular types of Mapping Driver jobs in California are:

What are popular job titles related to Mapping Driver jobs in California?

For Mapping Driver jobs in California, the most frequently searched job titles are:

What job categories do people searching Mapping Driver jobs in California look for?

The top searched job categories for Mapping Driver jobs in California are:

What cities in California are hiring for Mapping Driver jobs?

Cities in California with the most Mapping Driver job openings:

Mapping Driver jobs near you
Infographic showing various Mapping Driver job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution.

CW Computer Vision Engineer - Advanced Development & Planning

eShocan

Mountain View, CA • On-site

$131K - $155K/yr

Full-time

Re-posted 27 days ago

Job description

Position SummaryDevelop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.
Responsibilities
  • Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
  • Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
  • Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
  • Evaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.
  • Integrate camera, vehicle, and sensor data to create innovative AI-driven applications.
  • Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
  • Design real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.
  • Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
  • Prototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.
  • Develop software for deployment and demonstration in vehicle-based proof-of-concept platforms.
  • Evaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.
  • Collaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.
  • Stay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.
Qualifications
Required Qualifications
  • Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong background in Computer Vision and Machine Learning.
  • Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
  • Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
  • Strong programming skills in Python and C++.
  • Experience reading, reproducing, and extending recent AI/CV research publications.
  • Familiarity with Linux development environments.
  • Excellent verbal and written communication skills.Preferred Qualifications
  • Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
  • Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.
  • Experience with Generative AI and synthetic data generation.
  • Experience developing software on embedded Linux systems.
  • Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.
  • Experience optimizing and deploying AI models on edge devices and automotive computing platforms.
  • Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
  • Experience with ROS/ROS2, sensor fusion, or robotic/automotive systems.
  • Experience in automotive, robotics, autonomous systems, or intelligent transportation systems.
  • Publications in leading AI, robotics, or computer vision conferences are a plus.

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