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Map View Jobs in California (NOW HIRING)

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Map View information

See California salary details

$46.4K

$97.3K

$138.7K

How much do map view jobs pay per year?

As of Jul 1, 2026, the average yearly pay for map view in California is $97,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $111,500.00 per year, depending on experience, location, and employer.

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

To thrive in a map viewing or GIS (Geographic Information Systems) technician role, you need a solid understanding of geography, spatial analysis, and cartographic principles, often backed by a degree or coursework in GIS or related fields. Familiarity with GIS software such as ArcGIS or QGIS, and experience handling spatial databases and mapping tools, is typically required. Attention to detail, analytical thinking, and strong problem-solving skills are essential soft skills that help ensure accuracy and effective interpretation of map data. These competencies are crucial for producing reliable maps, supporting spatial decision-making, and providing valuable insights across various industries.

What are Map View jobs?

Map View jobs typically involve working with geographic information systems (GIS) or mapping software to visualize, analyze, and interpret spatial data. Professionals in these roles create, update, and maintain digital maps for a variety of applications, such as urban planning, environmental monitoring, navigation, and infrastructure management. These positions may require skills in GIS software, data analysis, cartography, and sometimes programming to customize and improve map displays. Map View jobs are found in government agencies, private companies, and research organizations that rely on accurate geographic data for decision-making.

What are some common challenges faced by professionals working in Map View roles, and how can they be addressed?

Professionals working in Map View roles often encounter challenges such as managing large geospatial datasets, ensuring data accuracy, and integrating multiple data sources into a cohesive visual format. Collaboration with GIS analysts, developers, and project managers is common, requiring strong communication skills. Staying updated with the latest mapping technologies and software is essential to maintain efficiency and accuracy. Regular training and leveraging automated tools can help address these challenges and improve workflow.
What are popular job titles related to Map View jobs in California? For Map View jobs in California, the most frequently searched job titles are:
What job categories do people searching Map View jobs in California look for? The top searched job categories for Map View jobs in California are:
Map View jobs near you
Infographic showing various Map View job openings in California as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,281 per year, or $46.8 per hour.
Lead Algorithm Engineer, Map-Perception Fusion

Lead Algorithm Engineer, Map-Perception Fusion

Nvidia

Santa Clara, CA • On-site

$120K - $158K/yr

Full-time

Posted 5 days ago

Job description

Are you driven to shape the future of autonomous vehicles at scale? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team and lead the development of next-generation self-driving technologies. In this role, you will partner with cross-functional engineering leaders to architect and deliver advanced 3D world models that fuse map and perception data, enabling safe, intelligent navigation across complex road systems in the U.S. and China. This is an opportunity to take technical ownership of critical systems and influence the direction of autonomous driving at the core of our platform.

What you'll be doing:

  • Lead Core Autonomous Driving Systems: Own the design, development, and evolution of systems that integrate cutting-edge perception and mapping technologies across diverse driving environments.

  • Architect Real-Time 3D World Models: Drive the creation of scalable, real-time 3D representations by fusing multi-modal sensor data and external sources to support robust planning and navigation.

  • Advance Mapless Driving Capabilities: Spearhead the development and processing of enriched bird's-eye-view (BEV) model outputs, reducing reliance on HD maps and enabling autonomy in highly dynamic urban environments.

  • Elevate Scenario Understanding: Define and implement approaches for static obstacle modeling, occupancy grids, and occlusion reasoning to improve environmental awareness and decision-making.

  • Cross-Functional Leadership: Collaborate closely with perception, planning, and platform teams; mentor engineers; and help align technical strategy across organizations.

  • Set Engineering Standards: Champion high-quality, production-grade code and enforce best practices aligned with automotive safety, reliability, and scalability requirements.

What we need to see:

  • PhD with 6+ years, MS (or equivalent experience) with 10+ years of relevant experience in Computer Science, Computer Engineering, or a related field.

  • Proven track record of leading complex software systems, ideally in robotics, autonomous vehicles, or related domains.

  • Strong expertise in system design, real-time processing, and scalable software architectures.

  • Demonstrated ability to drive technical direction, mentor engineers, and deliver results in ambiguous environments.

  • Excellent problem-solving, communication, and cross-team collaboration skills.

  • Experience with embedded or automotive-grade systems is highly desirable.

Ways to Stand Out from the Crowd:

  • Deep expertise in 3D geometry, computer vision, sensor calibration, or state estimation (e.g., Kalman or particle filters).

  • Experience leading real-time computer vision or perception systems in production environments.

  • Strong background in API design, software frameworks, and platform-level thinking.

At NVIDIA, we are committed to making autonomous driving a reality and believe this technology has the potential to save millions of lives. You will join a team of world-class innovators tackling one of the most impactful challenges of our time. With the scale, resources, and ambition to lead the industry, we are looking for leaders who can turn vision into reality. If you are passionate about building transformative technology and driving meaningful impact, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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