Staff Geospatial Data Science Engineer

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotives next chapter. From operating systems to zonal controllers to cloud and connectivity solutions were addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity AI security and more well map a new way forward. Working together well create a future thats more connected more intelligent more sustainable for everyone.

RV Tech is seeking a Geospatial Data Science Engineer to pioneer the data layer powering our next-generation software-defined electric this senior role you will be responsible for transforming massive high-frequency streams of vehicle sensor observations into highly accurate dynamic map features that the vehicle can use for localization routing and advanced driver assistance systems (ADAS).

You will apply advanced computational statistics machine learning and spatial analysis to process and model large datasets drawing actionable insights that translate raw fleet telemetry into live high-definition maps. We value proactive problem-solvers who thrive in autonomous roles and are passionate about building performant scalable systems at the intersection of data science and robotics.

• Geospatial Pipeline Engineering: Design build and optimize scalable data pipelines that ingest clean and segment billions of daily vehicle sensor observations into consumable map features and geometries.

• Statistical Modeling & Insights: Apply advanced data mining and analytic methods to detect real-world changes (e.g. road closures new lanes construction) and design rigorous statistical tests to validate map accuracy.

• Map Generation & Map Matching: Develop robust algorithms for map matching trajectory smoothing and sensor fusion to convert noisy probe data into high-fidelity road geometry and attributes.

• System Design & Architecture: Lead the technical design of spatial data systems ensuring low-latency query performance efficient spatial indexing (e.g. H3 S2) and scalable storage of vector/raster map data.

• Stakeholder Collaboration: Partner with embedded software engineers perception teams and cloud architects to align onboard vehicle capabilities with cloud-based mapping platforms.

• Staying Ahead of the Curve: Stay up-to-date with the latest advancements in big data technologies computational statistics machine learning and automated mapping practices.

Minimum Qualifications:

• Education: Bachelors Degree in Statistics Applied Mathematics Computer Science Geoinformatics Robotics or a related quantitative field with an emphasis or thesis work on computational statistics data mining machine learning or spatial optimization.

• Experience: 8 years of related professional experience building and maintaining large-scale data processing and predictive systems.

• Advanced Analytics & Data Mining: Expert-level knowledge in data mining and analytic methods such as regression classifiers clustering association rules decision trees and Bayesian network analysis.

• Geospatial Expertise: Proven experience working with geospatial data handling noisy time-series datasets writing advanced spatial queries in PostGIS and utilizing spatial libraries/indexing systems (e.g. H3 S2 GeoPandas).

• Programming & Scripting: Proficiency with statistical analysis packages and programming languages including Python SQL and shell scripting (or familiarity with R/MATLAB).

• Statistical Testing: Strong statistical foundation with proven expertise in designing executing and analyzing complex data tests and validation methodologies.

Preferred Qualifications

• Crowdsourced Mapping: Experience with fleet-based crowdsourced map generation methodologies including probe-data aggregation change detection and incremental map updates.

• Cloud Ecosystems: Experience deploying large-scale geospatial pipelines and machine learning workloads within cloud platforms (e.g. AWS GCP Databricks).

• Open-Source Infrastructure: Experience with standard open-source vector tile formats tools like Martin QGIS and geospatial processing engines (GDAL/OGR GEOS).

• Automotive Map Formats: Familiarity with automotive map standards routing schemas and data structures such as NDS (Navigation Data Standard) OpenStreetMap (OSM) and Lanelet2/HD Maps.

• Robotics Algorithms: Familiarity with core robotics concepts including SLAM (Simultaneous Localization & Mapping) Sensor Fusion and Point Cloud / Sensor Processing (LiDAR radar vision).

We build the exceptional and we believe the people doing that work should be rewarded addition to a competitive base salary full-time positions may be is eligible to participate in our annual company performance bonus program.

Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs) subject to board approval and the terms of our equity incentive plans including applicable vesting requirements.

In addition to our compensation programs we invest in our people with a comprehensive benefits package designed to support the health wellbeing and financial future for full-time employees including health coverage retirement savings time off and family planning programs. Offerings vary by country. Learn more about our global benefit programs.

External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site ( If you are a current employee please apply through our internal job board.

Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin ancestry sex sexual orientation gender gender expression gender identity genetic information or characteristics physical or mental disability marital/domestic partner status age military/veteran status medical condition or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation such as those covered by the Americans with Disabilities Act that requires accommodations to assist you in the search and application process please email us at

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Please note this job posting represents an open active vacancy. Additionally we are not currently accepting applications from third party application services.

Required Experience:

Staff IC