Job Description
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.5 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
What We Do
Mapbox is a global team of builders. We are developers and geographers, data scientists and drivers, designers and AI visionaries. Together, we are reimagining how location technologies move the world. We create map data and location services (navigation, search, directions), and enable our customers with SDKs they love. We are expanding and building 3D/HD data, ADAS (Advanced Driver Assistance Systems) data, and Navigation data based on AI assisted sensor data aggregation and aerial imagery extraction to create delightful user experiences. Our SD (road network) data, ADAS data, and our 3D/HD data is published in various forms (formats, layers, tiles) to internal service teams, SDK customers, and direct data customers (e.g., self driving cars and trucks). We are seeking a Staff Software Engineer to join us in the United States to own and implement these data publication services and help establish a team of Software Engineers expanding the scope of our data publication services.
What You'll Do
Implement a new data publication service (data format, layers, tiles) for our 3D/HD data for self driving vehicles
Expand data publication for ADAS and Navigation map data for additional data and new formats
Code and implement data processing and conversion within cloud applications, leveraging technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability and cost efficiency
Collaborate with multiple R&D teams to integrate our data seamlessly into our products
Engage directly with leading customers, including automotive OEMs in the EU, US, and Japan, as well as suppliers such as Tier 1 automotive companies
What We Believe Are Important Traits For This Role
Proficiency in Python, Scala, or other programming languages commonly used for data processing and cloud application development
Experience deploying data pipelines within scalable cloud applications, preferably on platforms such as AWS and Spark
Strong understanding of geospatial data concepts and tools (PostGIS, QGIS) and ideally also with some map data formats (e.g. GeoJSON, Mapbox Vector Tile Format, OpenUSD, OpenDRIVE, Mathworks Matlab RoadRunner)
Excellent problem-solving skills with a strong attention to detail
Outstanding communication skills and a proven ability to collaborate effectively across cross-functional teams
This role is collaborating on a daily basis with our teams in Europe, this means early morning availability is a must have to maximize time zone overlaps
Nice to Have Traits for This Role
Prior experience in the mapping, navigation, or automotive industries
Knowledge in some of the following map data formats is highly desirable: GeoJSON, Mapbox Vector Tile Format, NDS.Live, OpenUSD, OpenDRIVE, Mathworks Matlab RoadRunner
Knowledge of machine learning techniques for geospatial data analysis
Contributions to open-source projects related to geospatial data or data analysis
What We Value
What We Do
Mapbox is a global team of builders. We are developers and geographers, data scientists and drivers, designers and AI visionaries. Together, we are reimagining how location technologies move the world. We create map data and location services (navigation, search, directions), and enable our customers with SDKs they love. We are expanding and building 3D/HD data, ADAS (Advanced Driver Assistance Systems) data, and Navigation data based on AI assisted sensor data aggregation and aerial imagery extraction to create delightful user experiences. Our SD (road network) data, ADAS data, and our 3D/HD data is published in various forms (formats, layers, tiles) to internal service teams, SDK customers, and direct data customers (e.g., self driving cars and trucks). We are seeking a Staff Software Engineer to join us in the United States to own and implement these data publication services and help establish a team of Software Engineers expanding the scope of our data publication services.
What You'll Do
Implement a new data publication service (data format, layers, tiles) for our 3D/HD data for self driving vehicles
Expand data publication for ADAS and Navigation map data for additional data and new formats
Code and implement data processing and conversion within cloud applications, leveraging technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability and cost efficiency
Collaborate with multiple R&D teams to integrate our data seamlessly into our products
Engage directly with leading customers, including automotive OEMs in the EU, US, and Japan, as well as suppliers such as Tier 1 automotive companies
What We Believe Are Important Traits For This Role
Proficiency in Python, Scala, or other programming languages commonly used for data processing and cloud application development
Experience deploying data pipelines within scalable cloud applications, preferably on platforms such as AWS and Spark
Strong understanding of geospatial data concepts and tools (PostGIS, QGIS) and ideally also with some map data formats (e.g. GeoJSON, Mapbox Vector Tile Format, OpenUSD, OpenDRIVE, Mathworks Matlab RoadRunner)
Excellent problem-solving skills with a strong attention to detail
Outstanding communication skills and a proven ability to collaborate effectively across cross-functional teams
This role is collaborating on a daily basis with our teams in Europe, this means early morning availability is a must have to maximize time zone overlaps
Nice to Have Traits for This Role
Prior experience in the mapping, navigation, or automotive industries
Knowledge in some of the following map data formats is highly desirable: GeoJSON, Mapbox Vector Tile Format, NDS.Live, OpenUSD, OpenDRIVE, Mathworks Matlab RoadRunner
Knowledge of machine learning techniques for geospatial data analysis
Contributions to open-source projects related to geospatial data or data analysis
What We Value
💡 Quick Summary
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Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.