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Senior Software Engineer – Maps Infrastructure

Applied Intuition· Dana for Physical AI
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Sunnyvale$160k - $250kFull-timePosted 1mo ago

About the role

Senior software engineer role focused on owning and maintaining HD maps infrastructure for autonomous vehicles, enabling large-scale data ingestion, map creation, visualization, simulation, and publishing maps to AV fleets.

Responsibilities

  • Manage and operate distributed simulation workflows to support large-scale testing of robotic control, planning, and perception systems in diverse operating scenarios
  • Architect and build scalable HD mapping workflows integrated directly into autonomy stacks for control and planning across real-world mapping, localization, and simulation challenges
  • Design and build infrastructure and tools to provide high definition (HD) map creation, ingestion, and lifecycle management for autonomous vehicle and robotics development across all of Applied’s products
  • Define and own the Dana for Physical AI map storage format to handle heterogeneous features and distributed map data focusing on UIs, data pipelines and storage, CRUD operations, and SDKs
  • Design and develop a highly-scalable, high-performance real-time geometric query system to support highly performant three-dimensional spatial queries for vehicle dynamics modeling and testing in autonomous robotic platforms
  • Support tooling to digitize road network geometry, semantic attributes, and related infrastructure from lidar point clouds, high-resolution satellite and aerial imagery, street-level imagery, and other geospatial inputs
  • Validate map changes against rigorous mapping specifications to ensure high accuracy, completeness, and consistency of map data thru algorithmic and other quality validation checks
  • Support, triage, troubleshoot, and root cause map-related simulation and onroad disengagement system failures by correlating simulation results, dynamics behavior, and autonomy stack outputs
  • Collaborate with engineers and customers to gather requirements, plan features, and create roadmaps
  • Advise customers on the effective use of simulation and mapping tools to evaluate autonomy performance, safety, and system robustness

Qualifications

  • BS in in Computer Science, Robotics, Applied Mathematics, or related engineering field
  • 2+ years of experience in HD mapping for autonomous vehicles building software components or sub systems that address real-world mapping and/or localization challenges
  • 3+ years experience in programming & systems including: C++, Python, Go, JavaScript, SQL, Linux, and Git
  • Engineering Practices: Scalable distributed systems, CI/CD workflows, version control, and cross-team collaboration using Jira and Git-based tooling
  • A strong working understanding of lane-level geometry at CM precision, routing, and HD (High-Definition) map structures used in autonomous driving

Skills

Required:HD mapping for autonomous vehiclesDistributed systemsProgramming languages

Benefits

  • Offers Equity
Last updated Oct 11, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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