Staff Software Engineer - Maps

Requirements

• Minimum of eight years of professional experience in software engineering.
• Bachelor's or Master's degree in Computer Science, a related technical field, or an equivalent level of practical experience.
• Proficiency in programming with Go, Python, Java, or C++.
• Strong foundation in computer science fundamentals, including data structures, algorithms, complexity analysis, and a systematic approach to troubleshooting.
• Prior experience in technical leadership roles.
• Excellent interpersonal and communication skills with the ability to collaborate effectively across teams and with various stakeholders.

Nice to Have

• 8+ years of experience designing and operating large-scale data pipelines, preferably in a geospatial, mapping, or location intelligence domain.
• Deep familiarity with geospatial data formats and concepts (POI, address data, building footprints, GIS systems, spatial indexing such as H3/S2/Geohash).
• Hands-on experience with data conflation, entity resolution, or record linkage — merging data from multiple heterogeneous providers into a unified, high-quality dataset.
• Experience applying machine learning techniques (e.g., embedding models, classification, clustering) to data matching, deduplication, or attribute summarization at scale.
• Strong background in large-scale graph data modeling and processing — familiarity with graph connectivity problems, graph databases, or distributed graph computation frameworks.
• Proficiency with distributed data processing frameworks such as Apache Spark.
• Demonstrated ability to own and drive multi-year technical roadmaps, including authoring technical vision documents and architectural design proposals.
• Experience designing and running data A/B experimentation frameworks, including metric definition, experiment instrumentation, and statistical evaluation of data quality changes.
• Familiarity with data quality frameworks and observability tooling — monitoring pipeline health, data freshness, coverage, and accuracy at production scale.
• Prior experience mentoring senior and mid-level engineers, conducting design reviews, and elevating engineering standards across a team.
• Track record of effective cross-functional collaboration with Data Scientists, Product Managers, and partner engineering teams to translate ambiguous business requirements into concrete technical solutions.

What You'll Be Doing

• Design, build, and maintain data pipelines that consumes and conflate POI/Address/BFP data from multiple providers.
• Lead technically complex initiatives such transformation flat data structure into a graph, connecting all spatial data together, places inference, aliases of POIs, data A/B experimentation, etc.
• Navigate the trade-offs between short-term tactical fixes and long-term architectural stability while keeping the Maps ecosystem running smoothly.
• Own your work end-to-end, from drafting multi-year technical vision for traffic domains to debugging production issues when stakes are high.
• Collaborate cross-functionally with Data Scientists, Product Managers, and Engineering peers to translate complex business needs into robust, scalable software.
• Champion engineering best practices like code health and design clarity, even when the pace is fast and priorities shift.
• Mentor and unblock other ICs on the team, raising the bar for technical excellence through thoughtful design reviews and leadership by example.

Perks and Benefits

• Uber's mission is to reimagine the way the world moves for the better, creating real-world impact.
• Opportunity to work on challenging projects that drive growth and progress.
• Collaborative work environment.
• Opportunity for career advancement and skill development.