Mapbox (SF) · Los Angeles
Data & AIData Services Engineering & ProductFullTime
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.
On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) product family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost, and performance assessments.
As a Senior Software Development Engineer you can expect to:
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.
Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
Expert knowledge of at least one programming language (Python, Scala, or Java) and strong software engineering fundamentals.
Extensive experience designing and building large-scale data processing applications and pipelines on AWS or another cloud platform.
Strong SQL skills with deep understanding of query optimization, execution planning, and large-scale data processing.
Deep understanding of distributed computing principles and hands-on experience with frameworks such as Spark.
Experience designing and maintaining reliable data workflows using orchestration tools such as Airflow, Dagster, Prefect, or Luigi.
Strong understanding of software architecture, design patterns, testing strategies, and CI/CD practices.
Experience making architectural and technical decisions, balancing scalability, reliability, and maintainability.
Strong analytical and problem-solving skills with the ability to drive complex technical initiatives.
Excellent communication skills and experience collaborating across cross-functional teams.
Fluent English, both written and spoken.
Prior experience in the mapping, navigation, or automotive industry.
Knowledge of machine learning techniques for geospatial data analysis.
Contributions to open-source geospatial or data analysis projects.
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 mission 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.
Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth
Balance & Brainpower: Mental health support for you and your dependents.
Rest & Recharge: Paid time away, company holidays, and generous absence policies.
Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
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