Mapping Specialist

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions Applied Intuition is seeking skilled Mapping Specialists to support the creation and refinement of high definition HD maps for autonomous vehicles. These maps are 100x more detailed than standard road maps and serve as foundational inputs to Autonomous Vehicle perception, planning, and localization systems. In this full time role, you’ll work with point clouds, aerial imagery, street-level imagery, and other 3D spatial datasets using Applied’s cartography web app. You’ll perform detailed digitization of road environments, adhering to strict mapping specifications, and contribute directly to improving AV stack performance. This is an excellent opportunity for professionals with a background in HD map creation, GIS mapping, spatial annotation, or 3D modeling for autonomy, robotics, simulation, or gaming who are comfortable with technical workflows and fast paced, iterative feedback cycles.

Create, edit, and maintain HD maps to support L4 autonomous vehicle operations. 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. Apply detailed mapping specifications to ensure high accuracy, completeness, and consistency of map data. Contribute to multiple revision cycles based on internal technical acceptance criteria (e.g., validation, performance, robustness, system integration). Triage, troubleshoot, and root cause map-related disengagement issues Provide structured feedback to improve internal tooling, workflows, and mapping specifications. Collaborate with software engineers using Git, GitHub, Jira, Google Workspace apps (Docs and Sheets) and Slack.

3+ years of experience in map creation and maintenance, ideally in a relevant field such as autonomous vehicle mapping, GIS, or 3D game design Bachelor's Degree or higher education A strong understanding of lane-level geometry at CM precision, routing, and HD (High-Definition) map structures used in autonomous driving. Experience working with point cloud data, 3D visualization environments, or lidar-based annotation tools Strong attention to detail and ability to follow precise digitization protocols Comfortable with repetitive, accuracy-focused tasks and versioned map delivery Self-sufficient and organized in remote, asynchronous, fast paced work environment Preferred Qualifications Familiarity with autonomous vehicle maps, AV datasets, or HD mapping pipelines Background in HD map pipelines for AV systems, robotics, or mapping platforms Prior experience with ADP,