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From Home Lidar Data Processing Jobs in California

Zoox

Senior / Staff Lidar Engineer

Foster City, CA · On-site

$217K - $300K/yr

Evaluate and compare lidar technologies to drive down-selection decisions with customer teams ... If you would like more information about how your data is processed, please contact us.

Zoox

Senior / Staff Lidar Engineer

Foster City, CA

$217K - $300K/yr

Evaluate and compare lidar technologies to drive down-selection decisions with customer teams ... If you would like more information about how your data is processed, please contact us. apply for ...

Ace Hardware

Data Processor

Martinez, CA

$16 - $19/hr

General Summary No prior data processing experience is required, but is preferred. We will train ... from Ace Hardware Corporation. Bill's Ace Hardware is a proud fourth-generation, locally owned ...

Ace Hardware

Data Processor

Concord, CA · On-site

$16 - $19/hr

General Summary No prior data processing experience is required, but is preferred. We will train ... from Ace Hardware Corporation. Bill's Ace Hardware is a proud fourth-generation, locally owned ...

Ace Hardware

Data Processor

Martinez, CA

$16 - $19/hr

General Summary No prior data processing experience is required, but is preferred. We will train ... from Ace Hardware Corporation. Bill's Ace Hardware is a proud fourth-generation, locally owned ...

Ace Hardware

Data Processor

Concord, CA

$16 - $19/hr

General Summary No prior data processing experience is required, but is preferred. We will train ... from Ace Hardware Corporation. Bill's Ace Hardware is a proud fourth-generation, locally owned ...

Zoox

Senior / Staff Lidar Engineer

Foster City, CA

$217K - $300K/yr

Evaluate and compare lidar technologies to drive down-selection decisions with customer teams ... If you would like more information about how your data is processed, please contact us.

Waymo

Staff Software Engineer, Privacy

Mountain View, CA · On-site

$251K - $310K/yr

... other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our ... Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and ...

Rivian

Staff ML Engineer, Perception

Palo Alto, CA · On-site

$228 - $285/hr

... from multiple vehicle passes and/or lidar-free mapping. * Experience in defining data annotation ... Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities.

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From Home Lidar Data Processing information

What is from home lidar data processing?

From Home Lidar Data Processing refers to the remote analysis and interpretation of Lidar (Light Detection and Ranging) data using specialized software from a home office or remote location. Professionals in this role process raw Lidar point cloud data to produce accurate maps, 3D models, and other geospatial information for industries such as surveying, forestry, construction, and environmental monitoring. The job typically involves tasks such as filtering noise, classifying ground and non-ground points, and extracting features, all done through a computer with internet access, without needing to work onsite.

What are the key skills and qualifications needed to thrive as a from home lidar data processing specialist?

To excel in From Home Lidar Data Processing, you need a solid background in geospatial analysis, remote sensing, and data management, typically supported by a degree in geography, GIS, or a related field. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience handling large datasets, is crucial. Attention to detail, problem-solving, and strong self-motivation are important soft skills for ensuring data accuracy and meeting project deadlines independently. These skills and qualities are essential for delivering precise, reliable Lidar results while working remotely and collaborating effectively with distributed teams.

What are the typical challenges faced when working remotely as a lidar data processing specialist?

One common challenge for remote LiDAR Data Processing Specialists is managing large datasets and ensuring stable internet connectivity for data transfers and cloud-based processing tools. Additionally, coordinating with project managers and GIS teams virtually requires strong communication skills to clarify project requirements and resolve data discrepancies. Staying updated on the latest software and maintaining data security from home are also important considerations. However, many organizations offer remote access to high-performance servers and collaborative platforms to support productivity and teamwork.

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 From Home Lidar Data Processing jobs in California?

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

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

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

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

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

From Home Lidar Data Processing jobs near you
Infographic showing various From Home Lidar Data Processing job openings in California as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Senior/Staff Software Engineer, Localization

Booster

Mountain View, CA • On-site

$180 - $250/hr

Other

Posted 5 days ago

Job description

About the role

We are seeking a Senior/Staff Software Engineer to join our Localization team to build state-of-the-art sensor fusion solutions that combine data from a wide variety of sensors, as well as localization algorithms that integrate with maps in real time. We are looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution‑oriented team. You will play a critical part in building robust, real‑time localization solutions, leveraging real‑time sensor measurements to achieve high accuracy in diverse and challenging environments.

This role is onsite 5 days at our Mountain View, CA office!

What you'll do
  • Design, develop, and optimize sensor-based localization and odometry algorithms to improve the positioning accuracy of autonomous vehicles.
  • Implement algorithms for sensor fusion, utilizing data from IMU, GPS, Lidar, and other sensors to create a robust, reliable localization pipeline.
  • Develop and integrate real‑time SLAM techniques for both structured and unstructured environments.
  • Collaborate closely with perception, mapping, and control teams to ensure the seamless integration of localization outputs within the autonomous driving stack.
  • Conduct rigorous testing and validation in both simulation environments and real‑world scenarios, focusing on challenging conditions like urban and unstructured environments.
  • Analyze and debug complex issues in localization, implementing improvements based on both field test data and user feedback.
  • Research state‑of‑the‑art techniques in lidar and camera‑based localization, keeping the localization stack up‑to‑date with advancements in sensor processing and computational efficiency.
  • Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real‑time constraints and increase system robustness.
What we're looking for
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 6+ years industry experience writing C++ software in a production environment – architecture design, unit testing, code review, algorithm performance trade‑offs, etc.
  • 2+ years of experience in the AV/ADAS industries.
  • Experience in developing localization algorithms for autonomous vehicles or robotic systems, with a strong focus on GPS‑IMU sensor fusion and SLAM.
  • Proficiency in C++ and Python, with hands‑on experience in ROS/ROS2.
  • Experience with pose estimation, SLAM, probabilistic filtering, Kalman filtering, and non‑linear optimization.
  • Practical experience in processing large‑scale and real‑world data sets.
  • Experience implementing mathematical principles effectively in software.
  • Expert‑level knowledge of SLAM, GNSS/INS.
  • Experience with sensor fusion and sensor calibration techniques, particularly integrating IMU, GPS, and Lidar data for enhanced localization accuracy.
  • Experience with performance optimization and real‑time system requirements.
Bonus Qualifications
  • Experience with MATLAB / Simulink.
  • Proficiency in linear algebra, probability, and optimization techniques.
  • Proven ability to optimize and deploy real‑time control systems in fast‑paced environments.

Salary Range- $180,000- $250,000

We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

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