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Senior Mapping Engineer Jobs (NOW HIRING)

Senior MAP Flightline Engineer

Mobile, AL · On-site

$103.70K - $142.40K/yr

Transparencia en el Pago No Discriminación (Spanish) Airbus Commercial Aircraft is looking for a Senior MAP Flightline Engineer to join our Engineering department based in Mobile, AL. In this ...

Senior MAP Flightline Engineer

Mobile, AL · On-site

$103.70K - $142.40K/yr

Transparencia en el Pago No Discriminacion(Spanish) Airbus Commercial Aircraft is looking for a Senior MAP Flightline Engineer to join our Engineering department based in Mobile, AL. In this position ...

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Senior Mapping Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior mapping engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior mapping engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.
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What cities are hiring for Senior Mapping Engineer jobs? Cities with the most Senior Mapping Engineer job openings:
What are the most commonly searched types of Mapping Engineer jobs? The most popular types of Mapping Engineer jobs are:
What states have the most Senior Mapping Engineer jobs? States with the most job openings for Senior Mapping Engineer jobs include:
Infographic showing various Senior Mapping Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Mapping Engineer - Autonomous Vehicles

Senior Mapping Engineer - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

$143.90K - $189.70K/yr

Full-time

Posted 11 days ago


Job description

We are seeking a Senior Software Engineer to join NVIDIA's Autonomous Vehicle Map Team. The map is the spatio-temporal prior for on-vehicle driving models, enabling autonomous vehicles to continuously improve performance on frequently driven routes. In this role, you will develop and build production-grade on-vehicle map integration solutions. These solutions let perception, localization, and planning use SD/HD maps in real time. You may also contribute to cloud mapping pipelines that generate and maintain these maps. We are looking for outstanding engineers passionate about building intelligent systems for self-driving cars, with expertise in embedded software, real-time systems, and C++ performance optimization. If you're excited about building the systems that enable human-level AI for navigation, this is your opportunity to make an impact.
What you'll be doing:
  • Build C++ modules for in-vehicle map connection with perception, localization, and planning systems to enable real-time map consumption and validate map impact on driving performance
  • Work with embedded systems and real-time constraints to optimize map parsing, query APIs, and memory management on NVIDIA platforms
  • Design and implement map query interfaces that provide low latency for lane geometry, routing graphs, and spatial lookups consumed by autonomous driving software
  • Integrate cloud-generated maps with on-vehicle stacks to enable end-to-end validation of map quality and measure driving performance impact
  • Develop Python and C++ tools for on-vehicle testing, map data validation, debugging, and performance profiling
  • Collaborate with perception, planning, and localization teams to understand requirements, build APIs, and ensure maps are accurately accessed by autonomous driving software
  • Support cloud mapping pipelines (Airflow, Python) for map generation, quality detection, and validation workflows as needed

What we need to see:
  • BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • 8+ years of proven experience developing in-vehicle firmware, time-sensitive platforms, or map-to-vehicle integration for autonomous driving
  • Strong C++ programming skills for performance-critical embedded systems, memory optimization, and real-time constraints
  • Experience with embedded platforms and real-time operating environments (NVIDIA Orin, Xavier, QNX, or similar)
  • Understanding of autonomous vehicle software architectures and how maps are consumed by localization, perception, and planning systems
  • Experience debugging and profiling performance on embedded hardware with memory and timing constraints
  • Strong Python programming skills for tooling, testing, and automation
  • Excellent problem-solving skills and ability to debug complex embedded and real-time systems
  • Experience with Protocol Buffers and efficient data serialization for embedded systems

Ways to stand out from the crowd:
  • Extensive experience with SD & HD mapping and deep understanding of map data formats
  • Production experience integrating maps with perception, localization, or planning systems in autonomous vehicles
  • Expertise in real-time C++ optimization including memory management, cache optimization, lock-free algorithms, and deterministic performance
  • Experience with computer vision concepts (3D geometry, point clouds, structure-from-motion) and how they relate to map data
  • Experience with Airflow, Docker, Kubernetes and cloud map pipeline development

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 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