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Remote Lidar Data Processing Jobs in California (NOW HIRING)

Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark). Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and ...

... processing libraries (e.g., Pandas, PySpark). โ€ข Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes. โ€ข Strong experience with ...

Oversee and lead the data org; leading with a hands-on approach to building processes & playbooks, recruiting your team, setting goals, strategy alignment, and managing expectations with internal ...

Process and integrate data from multiple geospatial sources, including imagery, lidar, and tabular ... Work Location Remote work is available; however, remote employees must: * Reside within 50 miles of ...

As Needed Survey Crew Chief III

San Diego, CA ยท On-site +1

$43.30 - $56/hr

... lidar sensors, and magnetometers. * Plans and executes aerial imagery and remote sensing data ... Analyzes and processes survey data for accuracy, completeness, and compliance with regulatory and ...

Process and integrate data from multiple geospatial sources, including imagery, lidar, and tabular ... Work Location Remote work is available; however, remote employees must: * Reside within 50 miles of ...

As Needed Survey Crew Chief III

San Diego, CA ยท On-site +1

$43.30 - $56/hr

... lidar sensors, and magnetometers. * Plans and executes aerial imagery and remote sensing data ... Analyzes and processes survey data for accuracy, completeness, and compliance with regulatory and ...

... lidar sensors, and magnetometers. * Plans and executes aerial imagery and remote sensing data ... Analyzes and processes survey data for accuracy, completeness, and compliance with regulatory and ...

Sr. Data Analyst

San Francisco, CA ยท Remote

$90K - $130K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Support the ingestion and processing of data from APIs and JSON payloads. * Collaborate with ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Showing results 21-40

Remote Lidar Data Processing information

What is remote lidar data processing?

Remote LiDAR data processing involves handling and analyzing LiDAR (Light Detection and Ranging) data from a location other than where the data was collected. Professionals use specialized software to process large datasets, extract features like terrain models or vegetation, and generate 2D or 3D representations of landscapes. This remote work setup allows teams to collaborate globally, efficiently process data for industries like mapping, forestry, and urban planning, and deliver results without being physically present at the survey site.

What are the key skills and qualifications needed to thrive in remote lidar data processing?

To thrive as a Remote Lidar Data Processing Specialist, you need a solid background in geospatial sciences, data analysis, and remote sensing, often supported by a relevant degree such as geography, GIS, or engineering. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience with data formats such as LAS and point cloud processing, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for ensuring data accuracy and collaborating with team members. These skills and qualifications are important because they enable precise data interpretation, efficient workflow, and the delivery of high-quality geospatial products to clients.

What are some common challenges faced in remote lidar data processing, and how can they be overcome?

Professionals working in remote Lidar data processing often encounter challenges such as managing large datasets, ensuring data accuracy, and troubleshooting software or hardware compatibility issues. Effective organization and use of cloud-based storage solutions can help handle large volumes of data efficiently. Additionally, staying up-to-date with the latest processing software and regularly participating in team meetings or online forums can aid in resolving technical problems and maintaining data quality. Proactive communication with team members also ensures smooth collaboration, even in a remote work setting.

What is the difference between Remote Lidar Data Processing vs Remote GIS Analyst?

AspectRemote Lidar Data ProcessingRemote GIS Analyst
Required CredentialsTypically requires GIS or remote sensing certifications, technical skills in lidar softwareRequires GIS certifications, spatial analysis skills, and often a degree in geography or related field
Work EnvironmentPrimarily technical, focused on lidar data handling and processing softwareMore analytical, involving spatial data analysis, mapping, and reporting
Industry UsageUsed in surveying, mapping, environmental monitoring, infrastructure planningApplied in urban planning, environmental management, resource allocation

Remote Lidar Data Processing focuses on handling and analyzing lidar point cloud data, while Remote GIS Analysts interpret spatial data for decision-making. Both roles require GIS knowledge but differ in technical focus and application areas.

What are the most commonly searched types of Lidar Data Processing jobs in California?

The most popular types of Lidar Data Processing jobs in California are:

What are popular job titles related to Remote Lidar Data Processing jobs in California?

For Remote Lidar Data Processing jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Lidar Data Processing jobs in California look for?

The top searched job categories for Remote Lidar Data Processing jobs in California are:

What cities in California are hiring for Remote Lidar Data Processing jobs?

Cities in California with the most Remote Lidar Data Processing job openings:

Senior / Staff Software Engineer, ML Datasets & Data Pipelines

Waabi

San Francisco, CA โ€ข On-site, Remote

$148K - $260K/yr

Full-time

Re-posted 27 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.

You Will..

- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.

- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.

- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.

- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.

- Help drive project roadmap planning, prioritization, and delivery.

Qualifications:

- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.

- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

- Hands-on experience building distributed ETL and data processing pipelines.

- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.

- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.

- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.

 

Bonus Points:

- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.  

- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).

- Experience solving data challenges specific to autonomous driving.

- Familiarity with linear algebra (projections, transforms) and 3D geometry.

- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).

The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.