Senior Software Engineer – Maps Infrastructure

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

Experience with Kubernetes, AWS, GCP, and/or Azure

Experience with large-scale data processing using frameworks

Deep hands-on expertise in relevant algorithms or methods, 3D geometry or distributed systems

Deep understanding of sensors used for localization, state of the art industry solutions, and common approaches for production systems

Experience working with point cloud data, 3D visualization environments, or lidar-based annotation tools

Experience using browser-based map editors or web-based 3D tooling

Familiarity with feedback loops between mapping, perception, localization, and planning teams

Familiarity with log-based resimulation tooling and simulation-based map validation

Robotics & Simulation: Robot Operating System (ROS), Unreal Engine, MATLAB, Blender

Autonomy Domain Expertise:

Robotic mapping systems, HD maps, and map management pipelines

Simulation-based testing, verification, and validation of autonomous robotic platforms

Autonomous control, motion planning, and perception systems

Experience querying data across global-sized HD maps, including visualization

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!