Senior Software Development Engineer - Big Data, HD Maps

July 2

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Mapbox

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API • Transport • Telecommunications

Mapbox is a leading provider of custom online maps, offering APIs and SDKs that allow developers to integrate highly customizable maps into their web and mobile applications. Mapbox's services enable real-time data updates, immersive mapping experiences, and advanced navigation features tailored to specific industries like automotive and travel. Their solutions include Mapbox Studio for map design, Mapbox GL JS for web maps, and various SDKs for mobile and automotive navigation. Companies rely on Mapbox for applications in real estate, logistics, and business intelligence, benefiting from real-time, high-quality geospatial datasets and tools.

501 - 1000 employees

Founded 2010

🔌 API

🚗 Transport

📡 Telecommunications

💰 Venture Round on 2021-04

📋 Description

• Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications. • Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability. • Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products. • Work closely with engineering teams to align product development with strategic objectives. • Engage in direct communication with trend-setting customers, automotive OEMs in EU, US, Japan, and China, as well as suppliers like automotive Tier 1 companies and Mapping firms. • Collaborate with business development teams to ensure that the product roadmap and design align with customer needs and market trends.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or a related field. • Proficiency in Python or other programming languages commonly used in data analysis and cloud application development. • Experience deploying algorithms within scalable cloud applications like AWS and Spark. • Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights. • Strong problem-solving skills with meticulous attention to detail. • Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams. • Prior experience in the mapping, navigation, or automotive industry. • Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.). • Knowledge of machine learning techniques for geospatial data analysis. • Contributions to open-source geospatial or data analysis projects.