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Hourly Lidar Data Processing Jobs in California (NOW HIRING)

Seyond

Staff LiDAR System Engineer

Sunnyvale, CA · On-site

Experience developing application software, engineering tools, data-processing pipelines, visualization tools, or proof-of-concept applications using LiDAR data would be a significant plus.

Seyond

Staff LiDAR System Engineer

Sunnyvale, CA

Experience developing application software, engineering tools, data-processing pipelines, visualization tools, or proof-of-concept applications using LiDAR data would be a significant plus.

NV5

Senior Land Surveyor

Irvine, CA

Experience with lidar data processing is a plus. * Proficiency with MS Word and Excel. Physical Demands: The physical demands and work environment described here are representative of those that an ...

NV5

Senior Land Surveyor

San Diego, CA · On-site

Experience with lidar data processing is a plus. * Proficiency with MS Word and Excel. Physical Demands: The physical demands and work environment described here are representative of those that an ...

NV5

Senior Land Surveyor

San Diego, CA · On-site

Experience with lidar data processing is a plus. * Proficiency with MS Word and Excel. Physical Demands: The physical demands and work environment described here are representative of those that an ...

NV5

Senior Land Surveyor

San Diego, CA

Experience with lidar data processing is a plus. * Proficiency with MS Word and Excel. Physical Demands: The physical demands and work environment described here are representative of those that an ...

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Hourly Lidar Data Processing information

What is the difference between Hourly Lidar Data Processing vs Lidar Data Analyst?

AspectHourly Lidar Data ProcessingLidar Data Analyst
Primary RoleProcessing raw Lidar data into usable formatsAnalyzing processed Lidar data for insights
Skills & CertificationsGIS, remote sensing, data processing toolsGIS, data analysis, reporting skills
Work EnvironmentField data collection, office processingOffice-based data analysis and reporting
Industry UsageSurveying, mapping, environmental studiesUrban planning, infrastructure, research

Hourly Lidar Data Processing focuses on converting raw Lidar data into usable formats, requiring technical skills in data processing. Lidar Data Analysts interpret and analyze this processed data to generate insights. While both roles require knowledge of GIS and remote sensing, processing is more technical and hands-on, whereas analysis emphasizes interpretation and reporting.

What are some common challenges faced in hourly Lidar data processing roles and how can they be addressed?

Hourly Lidar data processing professionals often encounter challenges such as managing large volumes of raw data, ensuring data quality and accuracy, and meeting tight turnaround times. Dealing with inconsistencies in data due to varying environmental conditions or equipment calibration can also be demanding. To address these, it’s helpful to follow standardized workflows, use automated tools for data cleaning and classification, and maintain clear communication with the data collection team. Staying organized and collaborating closely with colleagues can streamline processing and help ensure deliverables meet client expectations.

What is hourly LiDAR data processing?

Hourly LiDAR data processing refers to the analysis and interpretation of LiDAR (Light Detection and Ranging) data on an hourly basis. This involves collecting raw LiDAR data, cleaning and filtering the data, and generating useful outputs such as 3D models or elevation maps. The role is important in industries like surveying, forestry, construction, and autonomous vehicles, where up-to-date spatial information is crucial for decision-making. Professionals in this field use specialized software to process and manage large datasets efficiently. The hourly aspect usually means that workers are paid by the hour and may handle tasks as projects or data come in.

What are the key skills and qualifications needed to thrive as an Hourly Lidar Data Processing specialist, and why are they important?

To thrive in Hourly Lidar Data Processing, you need a solid understanding of geospatial data concepts, attention to detail, and experience with Lidar data formats, often supported by coursework or training in geography, GIS, or remote sensing. Proficiency in specialized software such as LAStools, ArcGIS, QGIS, and familiarity with point cloud processing systems is typically required. Analytical thinking, problem-solving, and strong organizational skills help individuals stand out in managing large datasets efficiently. These skills are crucial for ensuring accurate, timely, and reliable data outputs that support mapping, surveying, and environmental analysis projects.
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 cities in California are hiring for Hourly Lidar Data Processing jobs? Cities in California with the most Hourly Lidar Data Processing job openings:
Hourly Lidar Data Processing jobs near you
Infographic showing various Hourly Lidar Data Processing job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Staff LiDAR System Engineer

Seyond

Sunnyvale, CA • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

Who is Seyond?
Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and more mobile world across the automotive, intelligent transportation, robotics and industrial automation sectors. Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development. Our dynamic portfolio - including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi - powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon. Currently, over 200,000 Falcon units are in use, and the product continues to be mass-produced today.
Job Summary
We are seeking a Staff LiDAR System Engineer to lead system-level architecture, performance optimization, validation, and application development for our LiDAR products.
This individual will work closely with optical, electrical, mechanical, firmware, software, algorithm, product, and field application teams. The ideal candidate has broad technical expertise across complex sensing systems and can translate product and customer requirements into system architecture, engineering specifications, validation plans, and practical application solutions.
The candidate should be capable of leading LiDAR system architecture activities and/or developing application software, tools, and prototypes that demonstrate and extend the capabilities of our LiDAR products.
How will you make an impact?
  • Lead or contribute to LiDAR system architecture, including requirements definition, subsystem interfaces, performance budgets, operating modes, and key technical trade-offs.
  • Translate product and application requirements into measurable system specifications and engineering validation plans.
  • Become a system-level expert on our LiDAR products and optimize their performance for automotive, robotics, industrial, infrastructure, and other applications.
  • Perform system-level analysis covering detection range, point-cloud quality, accuracy, precision, resolution, field of view, reflectivity, crosstalk, interference, environmental robustness, thermal performance, and system reliability.
  • Lead cross-functional technical investigations and root-cause analysis involving optics, electronics, firmware, software, algorithms, calibration, manufacturing, and mechanical design.
  • Design and execute experiments, collect and analyze data, and validate LiDAR performance under a wide range of operating and environmental conditions.
  • Experience developing application software, engineering tools, data-processing pipelines, visualization tools, or proof-of-concept applications using LiDAR data would be a significant plus.
  • Experience developing and evaluating LiDAR integration solutions involving cameras, IMUs, GNSS, radar, computing platforms, or other sensors would be a significant plus.
  • Collaborate with product and field application teams to understand customer use cases, identify technical gaps, and influence product features and roadmap decisions.
  • Support strategic customer engagements, technical demonstrations, workshops, and proof-of-concept projects when deep system-level expertise is required.
  • Create clear technical documentation, including system requirements, architecture descriptions, interface specifications, test plans, analysis reports, application notes, and integration guides.

What Qualifications and Skills Will Help You Succeed?
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, Optics, Robotics, or a related discipline with at least 8 years of relevant experience; a Master's degree with at least 6 years of experience; or a PhD with at least 3 years of experience.
  • Significant experience with LiDAR, radar, cameras, imaging systems, robotics sensors, or other complex electro-optical sensing systems.
  • Broad understanding of optics, electronics, firmware, embedded systems, software, signal processing, calibration, algorithms, mechanical design, and manufacturing considerations.
  • Experience developing sensor applications, engineering tools, automated test software, data-processing pipelines, or proof-of-concept systems.
  • Experience with point-cloud processing, signal processing, image processing, sensor calibration, object detection, sensor fusion, or perception algorithms.
  • Familiarity with Linux, Git, networking, APIs, SDKs, and software development workflows.
  • Experience with ROS or ROS 2, Open3D, PCL, OpenCV, or similar robotics and visualization frameworks is preferred.
  • Strong understanding of statistics, mathematics, experimental design, and data-driven engineering analysis.
  • Hands-on experience building, integrating, testing, and troubleshooting optical, electrical, or robotic systems.
  • Ability to lead complex technical investigations involving multiple engineering disciplines.
  • Excellent written and verbal communication skills, with the ability to explain complex technical topics to engineering teams, customers, and business stakeholders.
  • Ability to work independently, manage multiple fast-paced projects, and provide technical leadership in a cross-functional environment.

What core values will you add at Seyond?
  • Emerging: We embrace the challenges with the opportunities as we shape our future together.
  • Dynamic: It is the combination of each member's energy, innovative spirit, open-mindedness, creativity, and unique experience that give us our dynamic edge.
  • Genuine: We keep it real - be it with our customers, our partners, or each other. We are dedicated to being honest and collaborative in all that we do.
  • Excellence: We continuously strive for higher performance, higher quality, higher precision, and higher safety.

Where is this role located?This role is located in Sunnyvale, CA. Candidate must live in/near Sunnyvale, CA.
What are the benefits and perks of working at Seyond?You will be supported with a competitive and comprehensive benefits package. Below are some highlights:
  • A variety of health insurance plans
  • 401(k) retirement plan
  • Paid time off
  • Paid parental leave
  • Wellness reimbursement
  • Financial contributions to your ongoing development (conference participation, training etc.)

What is the Pay Range?
$160,000-$250,000
The above pay scale reflects the broad, minimum to maximum, annual base salary for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Seyond. You may also be eligible for the sales incentive plan and equity. In addition, our highly competitive benefits package is designed to support your success.
Seyond, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Employment at Seyond is contingent upon proof of your legal right to work in the United States under applicable law, verification of satisfactory references and successful completion of a background check, and signing all your on-boarding documents.
Seyond takes data privacy and identity theft very seriously. As such, we do not request personally-identifiable information (PII) from applicants over the internet or electronically. Please kindly refrain from disclosing your PII electronically during the application process or to unauthorized websites that may purport to be Seyond or any of our affiliates.

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