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Ideal location residence is Austin, TX, however, will consider any remote role in the USA for the right candidate.
About Us:
We are a cutting-edge technology company focused on building next-generation high-definition (HD) maps for autonomous vehicles, robotics, and advanced geospatial applications. Our team is driven by innovation, leveraging AI and machine learning to push the boundaries of precision mapping. As we expand our operations, we are seeking a highly skilled and experienced HD Mapping Team Lead to spearhead our efforts in point cloud annotation, map creation, and large-scale geospatial data processing.
Role Overview:
As the HD Mapping Team Lead, you will be responsible for overseeing the development, annotation, and maintenance of high-precision geospatial datasets. You will lead a team of specialists focused on processing LiDAR, sensor fusion, and high-resolution imagery to create HD maps for various applications, including autonomous driving, smart cities, and industrial automation. This role requires a blend of technical expertise, leadership, and strategic thinking to ensure our mapping solutions remain at the forefront of the industry.
Key Responsibilities:
- Strategic Leadership: Define and execute the roadmap for HD mapping projects, ensuring alignment with company objectives and industry advancements.
- Team Management: Lead and mentor a team of geospatial engineers, data annotators, and AI specialists, fostering a high-performance culture.
- HD Mapping Development: Oversee the end-to-end pipeline of HD map creation, from raw data ingestion to final delivery, including LiDAR point cloud processing, SLAM techniques, and sensor fusion.
- Quality Assurance: Implement stringent quality control measures for data annotation and HD map accuracy, ensuring compliance with industry standards (e.g., NDS, OpenDrive, Lanelet2, or proprietary formats).
- AI & Automation Integration: Leverage machine learning and computer vision techniques to automate and enhance mapping workflows.
- Collaboration: Work cross-functionally with software engineers, robotics teams, and external partners to integrate HD maps into broader autonomous systems.
- Technology Evaluation: Stay ahead of emerging trends in HD mapping, recommending new tools, datasets, and methodologies.
- Operational Efficiency: Optimize data annotation workflows, reducing turnaround times while maintaining top-tier accuracy.
- Regulatory Compliance: Ensure all mapping data adheres to global regulations and privacy laws.
Required Qualifications:
- Education: Bachelor’s or Master’s degree in Geospatial Science, Computer Vision, Robotics, Machine Learning, or a related field.
- Experience: 7+ years of hands-on experience in HD mapping, LiDAR point cloud processing, or geospatial data management.
- Leadership: 3+ years of experience leading high-performance teams in a technical environment.
- Proficiency in GIS software (ArcGIS, QGIS) and point cloud processing tools (e.g., TopoDOT, TerraScan, Bentley, LAStools, Pointerra, CloudCompare, or similar).
- Programming: Strong coding skills in Python, C++, or similar, with experience in geospatial libraries (e.g., PCL, GDAL, Open3D).
- Machine Learning & AI: Familiarity with deep learning techniques for object recognition and segmentation in point clouds (e.g., PointNet, DeepLab).
- Industry Tools: Hands-on experience with HD mapping platforms such as HERE, TomTom, NVIDIA DriveWorks, or Waymo HD mapping solutions.
- Project Management: Experience working in Agile/Scrum environments, managing projects with tight deadlines and deliverables.
- Communication: Strong verbal and written communication skills, with the ability to present complex technical concepts to stakeholders.
- Lanelet2 Standards: Experience working with Lanelet2 for HD mapping and autonomous vehicle route planning.
Preferred Qualifications:
- Experience with cloud-based geospatial computing (AWS, Google Earth Engine, or Azure Maps).
- Background in robotics, autonomous vehicle development, or 3D reconstruction.
- Experience with HD map standardization efforts (e.g., OpenDrive, NDS, ASAM, Lanelet2).
- Previous experience in a startup or high-growth environment.
Why Join Us?
- Competitive Compensation: $120-130k per year
- Equity & Growth: Leadership opportunities in a rapidly growing company.
- Cutting-Edge Tech: Work with state-of-the-art mapping tools, AI models, and robotics applications.
- Global Impact: Contribute to the future of autonomous mobility and smart infrastructure.
- Work-Life Balance: Flexible working arrangements, remote work options, and generous PTO policies.
EEO Statement: Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.
Disclaimer: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of the client and not that of the consulting firm.
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