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Map Jobs in San Ramon, CA (NOW HIRING)

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Map information

See San Ramon, CA salary details

$52.3K

$109.7K

$156.4K

How much do map jobs pay per year?

As of Jun 25, 2026, the average yearly pay for map in San Ramon, CA is $109,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $125,800.00 per year, depending on experience, location, and employer.

What is the difference between Map vs Cartographer?

AspectMapCartographer
Required CredentialsHigh school diploma or equivalent; some roles may require GIS certificationsBachelor's degree in Geography, Cartography, or related field; GIS certifications often preferred
Work EnvironmentFieldwork, office, or digital environments; creating and updating mapsOffice-based, using GIS software to design and produce maps
Industry UsageUsed across various industries including navigation, urban planning, and outdoor recreationPrimarily in GIS, urban planning, environmental management, and mapping services

While a Map refers to the visual representation of geographic data, a Cartographer is a professional who creates, designs, and updates maps using specialized skills and software. The cartographer's role involves technical expertise, whereas a map is the end product used across many industries.

What job makes $10,000 a month without a degree?

A map-related job that can earn $10,000 a month without a degree is often in specialized fields like GIS (Geographic Information Systems) consulting, remote mapping services, or freelance cartography. These roles typically require strong technical skills, experience, and sometimes certifications, but not necessarily a formal degree. High earnings are usually associated with self-employment, consulting, or working in niche markets with high demand.

What jobs involve maps?

Jobs that involve maps include cartographers, GIS specialists, urban planners, surveyors, and navigation system developers. These roles require skills in geographic information systems (GIS), spatial analysis, and map creation using specialized software. They are common in fields like urban development, environmental management, transportation, and government planning.

What are the key skills and qualifications needed to thrive as a Map Technician, and why are they important?

To thrive as a Map Technician, you need a solid background in cartography, geography, and spatial analysis, typically supported by a relevant degree or certification. Proficiency with Geographic Information Systems (GIS), mapping software like ArcGIS, and data management tools is essential. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for this role. These skills ensure the creation of accurate, reliable maps and spatial data, which are critical for decision-making in various industries.

Is map making a good career?

Map making, or cartography, is a specialized field that involves designing and creating maps using GIS software and spatial data analysis. It offers opportunities in industries such as urban planning, environmental management, and navigation, often requiring technical skills and certifications. The career can be stable and rewarding for those with strong analytical and technical abilities.

What are mapmakers (cartographers) and what do they do?

Mapmakers, also known as cartographers, are professionals who design, create, and update maps and visual representations of geographic information. They use a variety of data sources, including satellite imagery, surveys, and geographic information systems (GIS), to produce accurate and informative maps for a range of purposes, such as navigation, urban planning, and environmental studies. Cartographers must have a strong understanding of geography, spatial relationships, and technology to effectively translate complex data into easy-to-understand visuals.

How much does a cartographer get paid?

The average salary for a cartographer in the United States is around $60,000 to $70,000 per year, depending on experience, education, and location. Skilled cartographers who use GIS software and have specialized certifications may earn higher salaries, especially in government or private sector roles.

What are some common challenges faced by cartographers when creating digital maps?

Cartographers often encounter challenges such as ensuring data accuracy from multiple sources, keeping map information up-to-date, and making maps user-friendly for diverse audiences. Balancing aesthetic design with technical detail is also critical, especially when working with geographic information systems (GIS). Collaboration with data scientists, surveyors, and project managers is common, requiring strong communication and adaptability in a fast-evolving field.
What are popular job titles related to Map jobs in San Ramon, CA? For Map jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Map jobs in San Ramon, CA look for? The top searched job categories for Map jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Map jobs? Cities near San Ramon, CA with the most Map job openings:
Infographic showing various Map job openings in San Ramon, CA as of June 2026, with employment types broken down into 73% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $109,744 per year, or $52.8 per hour.

Software Engineer - Map Fusion & Planning

DiDi Labs

San Jose, CA

$129K - $214K/yr

Other

Posted 16 days ago


Job description

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About the Role

We are seeking a Software Engineer / Senior Software Engineer to develop the next-generation map fusion and motion planning systems for our autonomous vehicles. In this role, you will bridge the gap between semantic HD maps, real-time sensor perception, and vehicle trajectory generation. You will design scalable software infrastructure, implement advanced geometric and deep learning frameworks, and develop the planning algorithms that enable our vehicles to navigate complex, dynamic environments safely and predictably.

Responsibilities

  • System Architecture: Architect the data flow pipelines and APIs for map fusion, real-time map vectorization, and behavior/motion planning modules.
  • Algorithm Deployment: Design and deploy robust software frameworks that integrate offline High-Definition (HD) maps with online perception data to create a unified local environment model.
  • Advanced Mapping Networks: Implement and optimize state-of-the-art networks utilizing DETR-style, query-based vector decoding in bird's-eye-view (BEV) for online map element generation.
  • Motion Planning & Optimization: Design, implement, and validate core motion planning algorithms, establishing a tight feedback loop between vectorized map features, path generation, and trajectory optimization.
  • Model Deployment Pipelines: Own the end-to-end deployment pipeline for deep learning mapping models-from Python-based training and ONNX optimization to highly efficient runtime execution in C++.
  • Safety & Anomaly Detection: Develop real-time map anomaly and scene-change detection algorithms to ensure planning system reliability under varying or outdated map conditions.
  • Performance Optimization: Optimize system latency, CPU/GPU memory footprint, and multi-threaded execution of safety-critical C++ modules.

Qualifications

  • Education: B.S./M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Experience: 3+ years (Software Engineer) / 5+ years (Senior Software Engineer) of experience in autonomous driving, robotics architecture, or spatial computing.
  • Software Mastery: Expert proficiency in production-grade C++ (Modern C++14/17/20, multi-threading, memory management) and strong prototyping proficiency in Python.
  • Motion Planning Fundamentals: Robust foundational knowledge in path planning (e.g., A*, Dijkstra, Hybrid A*, sampling-based planners like RRT*) and kinematic/dynamic vehicle models.
  • Robotics Core: Deep understanding of robotics fundamentals, including coordinate transformations, spatial geometry, and state estimation.
  • System Design: Strong system design skills with a solid understanding of middleware (e.g., ROS2, DDS) and distributed software architectures.

Preferred Qualifications

  • Trajectory Optimization: Hands-on experience with numerical trajectory optimization methods (e.g., MPC, QP/Nonlinear optimization, interior-point methods) and optimization solvers (e.g., OSQP, Ipopt, Ceres Solver).
  • Advanced Mapping Experience: Hands-on experience working with HD map formats (Lanelet2, OpenDRIVE) and modern end-to-end learning frameworks (e.g., MapTR, VectorNet) that leverage query-based BEV perception.
  • Deep Learning Runtime & Deployment: Proven track record of exporting complex deep learning architectures via ONNX and deploying them into real-time C++ production environments using TensorRT.
  • Anomaly Detection: Proven track record of developing algorithms for map anomaly detection, sensor-to-map misalignments, or online scene-change identification.
  • Safety-Critical Systems: Knowledge of real-time operating systems (RTOS), deterministic software execution, and safety-critical software design principles.

The base salary range for this full-time position is $129,189-$214,776 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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