Senior Software Engineer - HD Maps for Autonomous Vehicles

Applied Intuition; Sunnyvale, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Applied Intuition, Inc. is seeking senior software engineers to own and maintain HD maps infrastructure for autonomous vehicles. You will manage end-to-end mapping life cycles, ingestion pipelines, and real-time 3D spatial queries, enabling fleet updates across multiple vehicle types worldwide.

You will work on scalable distributed systems, data pipelines, and visualization tools, collaborating with customers to plan features and deliver robust map solutions for Physical AI applications.

Qualifications

• BS 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 map structures used in autonomous driving

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 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

Education

BS in Computer Science, Robotics, Applied Mathematics

Tools

C++

Python

Go

JavaScript

SQL

Linux

Git

Job description

Applied Intuition, Inc. is seeking senior software engineers to own and maintain HD maps infrastructure for autonomous vehicles. You will manage end-to-end mapping life cycles, ingestion pipelines, and real-time 3D spatial queries, enabling fleet updates across multiple vehicle types worldwide.

You will work on scalable distributed systems, data pipelines, and visualization tools, collaborating with customers to plan features and deliver robust map solutions for Physical AI applications.