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Mapbox

Software Development Engineer III, Map Data Publication

Reposted 11 Days Ago
Remote
Hiring Remotely in US
183K-248K
Senior level
Remote
Hiring Remotely in US
183K-248K
Senior level
The role involves implementing data publication services for 3D/HD and ADAS data, collaborating with R&D teams, and directly engaging with automotive customers.
The summary above was generated by AI

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 4 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

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

  • We value high-performing creative individuals who dig into problems and opportunities.

  • We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.

  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

Our annual base compensation for this role ranges from $190,825 - $258,175 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information.

By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here.

Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation and Right to Work posters for more information.

We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

#LI-Remote

Top Skills

AWS
Geojson
Postgis
Python
Qgis
Spark
SQL

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