Senior HD Mapping & GIS Specialist

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 reputed company high-definition (HD) maps for autonomous vehicles, robotics, and advanced geospatial applications. reputed company 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 reputed company HD Mapping Team reputed company to spearhead our efforts in reputed company reputed company annotation, map creation, and large-scale geospatial data processing. Role Overview: As the HD Mapping Team reputed company, you will be responsible for overseeing the development, annotation, and maintenance of high-precision geospatial datasets. You will reputed company 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 reputed company 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: reputed company and mentor a team of geospatial engineers, data annotators, and AI specialists, fostering a high-performance culture. • HD Mapping Development: reputed company the end-to-end pipeline of HD map creation, from raw data ingestion to final delivery, including LiDAR reputed company reputed company processing, SLAM techniques, and sensor fusion. • Quality Assurance: Implement stringent quality control measures for reputed company and HD map accuracy, ensuring compliance with industry standards (e.g., NDS, OpenDrive, Lanelet2, or proprietary formats). • AI & Automation Integration: reputed company machine learning and computer reputed company 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 reputed company of emerging trends in HD mapping, recommending new tools, datasets, and methodologies. • Operational Efficiency: Optimize reputed company workflows, reducing turnaround times while maintaining top-tier accuracy. • Regulatory Compliance: Ensure reputed company mapping data adheres to global regulations and privacy laws. Required Qualifications: • Education: Bachelor’s or Master’s degree in Geospatial Science, Computer reputed company, Robotics, Machine Learning, or a reputed company field. • Experience: 7+ years of hands-on experience in HD mapping, LiDAR reputed company reputed company 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 reputed company reputed company 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 reputed company clouds (e.g., PointNet, DeepLab). • Industry Tools: Hands-on experience with HD mapping platforms such as HERE, TomTom, reputed company DriveWorks, or reputed company 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 reputed company technical concepts to stakeholders. • Lanelet2 Standards: Experience working with Lanelet2 for HD mapping and autonomous vehicle reputed company planning. Preferred Qualifications: • Experience with reputed company-based geospatial computing (AWS, reputed company Earth reputed company, 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. reputed company reputed company applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national reputed company, political affiliation, reputed company, 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: reputed company claims and offers to compensation, rewards, and reputed company procedures are at the sole discretion of the client and not that of the reputed company. Apply Job!