What the Candidate Will Do:
- Data Collection & System Management
- Lead the deployment and operation of various data collection projects including but not limited to App based, dashcam, LiDAR, ensuring that data is captured with high precision and accuracy
- Manage the calibration, configuration, and troubleshooting of sensors and related field equipment
- Manage field data collection activities, ensuring that data is captured according to predefined protocols for spatial resolution, point density, and system accuracy
- Conduct georeferencing and geospatial alignment of point clouds, ensuring data integrity and consistency across multiple sensors and platforms
- Develop and implement strategies for data acquisition and collection
- Data Quality Assurance & Processing
- Oversee the post-processing of data, including noise filtering, classification, feature extraction, and accuracy assessment
- Ensure proper data formatting and conversion for downstream integration with GIS and modeling software
- Program & Team Leadership
- Lead a multidisciplinary team of field technicians, specialists, and field coordinators to ensure the successful execution of complex data collection campaigns
- Design and implement training programs to ensure field teams are proficient in the operation of systems, sensors, data collection protocols, and safety procedures
- Manage team logistics, equipment deployments, and scheduling to optimize field operations and minimize downtime
- Provide technical leadership in troubleshooting complex field and system issues, ensuring minimal data loss and operational interruptions
- Technical Process Optimization & Innovation
- Continuously evaluate emerging technologies, data collection techniques, and processing workflows to improve operational efficiency and data quality
- Implement automation and batch processing workflows for data post-processing to streamline data handling and reduce manual interventions
- Logistics & Resource Management
- Oversee the logistical aspects of field operations, including the deployment of systems, sensors and other field equipment
- Ensure equipment is properly maintained, calibrated, and prepared for deployment, minimizing the risk of technical failures in the field
- Manage field data collection budgets, resources, and timelines, optimizing efficiency while ensuring high-quality outcomes
- Risk Management & Safety Compliance:
- Implement risk management strategies for data collection campaigns, particularly when operating in challenging environments
- Ensure that all field activities comply with relevant regulatory guidelines, data privacy laws, and health and safety standards
- Conduct pre-field assessments to identify potential hazards, equipment malfunctions, or environmental factors that could impact data collection operations
- Exceptional understanding of regulations around data collection across the globe
Basic Qualifications:
- 7+ years of experience in geospatial data collection and field operations, with at least 2 years of specialized experience in LiDAR data collection
- Extensive hands-on experience with LiDAR systems (e.g., Leica, Riegl, Velodyne) and point cloud data processing
- Experience managing large-scale field data collection programs, including coordinating teams and resources, managing logistics, and ensuring data accuracy and integrity.
- Proficient in LiDAR data processing software (e.g., Leica Cyclone, CloudCompare, TerraScan, ArcGIS) and point cloud analysis techniques.
- Deep technical knowledge of LiDAR technology, including sensor types, calibration methods, and data acquisition techniques.
- Expertise in point cloud data processing, classification, and analysis, including familiarity with algorithms for feature extraction and automated processing workflows.
- Advanced proficiency with GIS software (e.g., ArcGIS, QGIS, AutoCAD, Bentley) and geospatial data integration.
- Strong project management skills, with the ability to manage complex technical projects across multiple teams and stakeholders.
- Experience with mobile mapping technologies.
- In-depth understanding of geospatial data formats (LAS, LAZ, PTS) and data conversion tools
- Strong problem-solving abilities, particularly in the context of field equipment troubleshooting and data anomalies
- Able to drive insights based on information from disparate sources
- Excellent written and verbal communication skills with outstanding emotional intelligence
- Ability to influence and empower people across a variety of job functions through your relationships
- Outstanding organizational skills with the ability to balance many tasks without losing sight of the highest-priority items
- Strong bias towards action. You drive end-to-end results and are always thinking ahead
- Obsessive attention to detail and you are constantly looking for ways to tweak and optimize for better results
Preferred Qualifications:
- Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background
- Direct the use of software tools for point cloud registration, alignment, and mosaicking
- Geospatial data integration and analysis
- Bachelor’s degree in Geospatial Sciences or a related technical field. A Master’s degree or advanced certification in LiDAR or remote sensing is highly preferred
- Knowledge of cloud-based geospatial data management platforms and automation tools for LiDAR data processing
For Sunnyvale, CA-based roles: The base salary range for this role is USD$125,000 per year - USD$139,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .