Lead the mapping operations team at Applied Intuition, ensuring high-quality HD map production for autonomous vehicles.
Posted by employer 22 hours ago
First seen on Joblaze 10 hours ago
Last verified on the company career page 10 hours ago
What you'll build
Must have
Nice to have
Practical constraints
Role intensity
40% coding
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Mapping Operations Lead at Applied Intuition oversees the daily functions of the mapping team, ensuring efficient production schedules and effective issue resolution. This role requires expertise in high-definition map creation, familiarity with data formats and tools, and the ability to coordinate between technical teams. Ideal candidates have a background in geospatial data operations and experience leading teams in fast-paced environments. The position plays a crucial role in enhancing the performance of autonomous vehicle systems.
Joblaze insights
Quick facts
From the original posting
Applied Intuition is seeking a technical lead to drive the day-to-day operations of our mapping team. Maps serve as a foundational interface with autonomous vehicle perception, planning, and localization systems.
This is a hands-on leadership role at the intersection of data collection, map production, validation, simulation, and field operations. You'll own the production schedule, lead first-line triage of map and data issues, and serve as the connective tissue between mapping specialists, software engineering, and field operations teams. The right person thrives in a high-throughput environment, brings deep technical judgment, and knows how to keep a team organized and unblocked. You will directly impact AV stack performance.
This is an excellent opportunity for professionals with a background in high definition (HD) map creation who are comfortable with technical workflows, iterative feedback cycles, and real-time prioritization in a startup environment.
Lead a team of mapping specialists, setting priorities, managing workloads, and maintaining a clear production schedule across concurrent map build and update cycles
Own the weekly and sprint-level production calendar — balancing incoming requests for mapping new areas, improving map quality, and supporting field tests
Run daily standups and triage sessions; escalate blockers quickly and make real-time prioritization decisions based on operational impact to keep the pipeline moving
Mentor specialists, conduct technical reviews of their work, and establish standards for map labeling, QC, acceptance criteria, and documentation
Serve as the primary escalation point for map data issues flagged during map production, validation, or by downstream consumers, including initial triage, creating actionable followup tasks, and routing to maps and engineering teams for resolution
Build and maintain a triage playbook so the team can classify and resolve common issues consistently and quickly
Coordinate with engineers to validate HD map accuracy in simulation environments and close gaps before map releases
Close the loop with operations and safety teams so field feedback quickly improves map coverage and quality
Bachelor's Degree or higher in a relevant field
3+ years of experience in HD map production, geospatial data operations, or a closely related field in autonomous vehicles, robotics, or mobility
Demonstrated experience leading or coordinating a team of technical contributors — you don't need a formal management title, but you know how to organize people around a shared workflow
Strong understanding of HD map data formats (e.g., OpenDRIVE, NDS, or proprietary lane-level map schemas) and annotation pipelines to label map elements
Experience working with point cloud data, 3D visualization environments, or lidar-based annotation tools
Familiarity with simulation environments (e.g., CARLA, LGSVL, or internal sim stacks) and how map data feeds into sim validation
Experience analyzing field reports or sensor data to identify map quality issues
Comfort with data tooling — SQL, C++, Python, QGIS, or similar — for pulling reports, querying map data, and building dashboards. AI skills a strong plus.
Excellent written and verbal communication; able to translate technical issues clearly for both specialists and cross-functional partners
Organized, calm under pressure, and energized by the pace of production operations.
Experience with LiDAR point clouds and camera-based feature extraction
Experience with standard definition (SD) street network data
Background in AV safety operations or working alongside safety drivers
Familiarity with JIRA or similar tools for tracking production backlogs and Slack for real time communication
Prior experience defining or improving QA/QC standards in a mapping team
Confident working across time zones
Standard company text repeated across Applied Intuition's postings is omitted here.