{"id":629831,"url":"https://alion.io/job/rivianvw-staff-geospatial-data-science-engineer","title":"Staff Geospatial Data Science Engineer","company":{"id":684668,"name":"Rivian and Volkswagen Group Technologies","domain":"rivianvw.tech","url":"https://alion.io/company/rivianvw","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":27,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":171100,"max":235300,"currency":"USD","period":"year","gross":null,"usd_annual":235300},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"PostGIS","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"GDAL","optional":true},{"name":"Lanelet2","optional":true},{"name":"PostgreSQL","optional":true},{"name":"QGIS","optional":true},{"name":"SLAM","optional":true}],"status":"live","first_seen_at":"2026-07-24T22:30:28Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-18T03:33:09Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":85},"description":"About Us\nRivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.\nThe road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.\nRole Summary\nRV Tech is seeking a Geospatial Data Science Engineer to pioneer the data layer powering our next-generation software-defined electric vehicles. In 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).\nYou 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.\nResponsibilities\nGeospatial 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.\n\nStatistical 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.\n\nMap 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.\n\nSystem 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.\n\nStakeholder Collaboration: Partner with embedded software engineers, perception teams, and cloud architects to align onboard vehicle capabilities with cloud-based mapping platforms.\n\nStaying Ahead of the Curve: Stay up-to-date with the latest advancements in big data technologies, computational statistics, machine learning, and automated mapping practices.\n\nQualifications\nMinimum Qualifications: \nEducation: Bachelor's 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.\n\nExperience: 8+ years of related professional experience building and maintaining large-scale data processing and predictive systems.\n\nAdvanced 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.\n\nGeospatial 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).\n\nProgramming & Scripting: Proficiency with statistical analysis packages and programming languages, including Python, SQL, and shell scripting (or familiarity with R/MATLAB).\n\nStatistical Testing: Strong statistical foundation with proven expertise in designing, executing, and analyzing complex data tests and validation methodologies.\n\nPreferred Qualifications\nCrowdsourced Mapping: Experience with fleet-based, crowdsourced map generation methodologies, including probe-data aggregation, change detection, and incremental map updates.\n\nCloud Ecosystems: Experience deploying large-scale geospatial pipelines and machine learning workloads within cloud platforms (e.g., AWS, GCP, Databricks).\n\nOpen-Source Infrastructure: Experience with standard open-source vector tile formats, tools like Martin, QGIS, and geospatial processing engines (GDAL/OGR, GEOS).\n\nAutomotive Map Formats: Familiarity with automotive map standards, routing schemas, and data structures such as NDS (Navigation Data Standard), OpenStreetMap (OSM), and Lanelet2/HD Maps.\n\nRobotics Algorithms: Familiarity with core robotics concepts, including SLAM (Simultaneous Localization & Mapping), Sensor Fusion, and Point Cloud / Sensor Processing (LiDAR, radar, vision).\n\nTotal Rewards\nWe build the exceptional - and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program.\nPayments 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.\nIn 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 .\nExternal candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board .\nEqual Opportunity\nRivian 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.\nRivian 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 .\nCandidate Data Privacy\nRivian and Volkswagen Group Technologies” may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.\nRivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.\nRivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.\nIf you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.\nPlease see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.\n--\nPlease note this job posting represents an open, active vacancy. 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