Senior 3D Computer Vision & LiDAR Engineer
Anywhere
Category: Engineer
Industry: Financial Services
Workplace Type: Remote
Reference ID: JN -032026-105936
Date Posted: 03/11/2026
Shortcut: http://careers.eliassen.com/zKWnGj
Description:
Remote
Our client is seeking a Senior 3D Computer Vision and LiDAR Engineer to design and deploy a rigorous processing pipeline for fused UAV and mobile LiDAR in dense forests. The role will architect scalable Python and C++ components for co-registration, segmentation, and structural modeling to derive empirical 3D tree architectures and biomass. The engineer will implement advanced registration, deep learning for 3D segmentation, and watertight meshing with precise volumetric computation. The work supports accurate carbon and biomass calculations on large, noisy, multi-sensor point clouds.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $80.00 to $95.00/hr. w2
Responsibilities:
- Architect an end-to-end Python/C++ pipeline that ingests .las/.laz and executes ground filtering, semantic segmentation, co-registration, and structural modeling.
- Implement and tune VGICP and Pose Graph Optimization to stitch UAV and MLS datasets, correcting Z-axis drift and SLAM/IMU micro-errors.
- Develop, train, and deploy 3D neural networks such as MambaNet/SSM, SparseConvNet, or PointNet++ for woody biomass versus foliage segmentation.
- Apply geometric filtering including Cloth Simulation Filters and eigenvalue/covariance features to normalize terrain and isolate trunks.
- Engineer watertight surface reconstruction using Screened Poisson to convert woody point clouds into meshes.
- Compute empirical Above Ground Biomass using divergence theorem methods on large meshes with correct normal orientation.
- Implement robust normal estimation and global orientation with methods such as MST-based or Laplacian smoothing prior to Poisson reconstruction.
- Optimize large-scale processing through subsampling, voxelization, and GPU-accelerated tensor operations in cloud environments.
Experience Requirements:
- Expert Python development for high-performance, object-oriented data pipelines.
- Strong C++ for performance optimization and potential CUDA kernel development.
- Extensive Open3D experience for ICP, PGO, and geometric operations.
- Proficiency with PDAL and laspy for LiDAR I/O and batch filtering; familiarity with CloudCompare CLI.
- Expert PyTorch with 3D data; experience with PyTorch3D or PyTorch Geometric.
- Ability to implement space-filling curves or voxel serialization for sequence models or 3D convolutions.
- Deep knowledge of linear algebra including transformations, quaternions, covariance, and spatial indexing with KD-Trees and Octrees.
- Understanding of LiDAR physics including SLAM versus IMU drift, beam divergence, incidence angles, and saturation effects.
- Forestry and biomass modeling familiarity including TreeQSM or SimpleTree and the importance of angular diversity in trunk data.
- Experience handling temporal and environmental variability across scans and imperfect alignment in real-world data.
- 5+ years in software engineering or ML research with 2–3 years focused on 3D point clouds, autonomous vision, or dense mapping.
- Portfolio with custom ICP, 3D segmentation, or custom PyTorch data loaders for point clouds.
Education Requirements:
- MS or PhD in Computer Science, Geomatics, Remote Sensing, Robotics, or a related field.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
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Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Eliassen Group’s Affirmative Action Plan (AAP) is available for inspection by any employee or applicant for employment upon request, during normal business hours of Monday through Friday, 8:30am to 5:30pm EST. Interested persons should contact Phaedra Wells at pwells@eliassen.com for assistance. It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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