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3D Lidar Segmentation Jobs (NOW HIRING)

IntelliPro

Data Annotator

San Francisco, CA · On-site

Responsibilities : • Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation. • Identify, label, and ...

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

Annotate 3D sensor data (LiDAR/point cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation * Identify, label, and classify objects and ...

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

We build models to extract 3D object and line features from dense LiDAR point clouds and imagery ... segmentation, detection, or 3D understanding. * Experience taking a ML model from research ...

Mach9

ML Engineer

San Francisco, CA

We build models to extract 3D object and line features from dense LiDAR point clouds and imagery ... segmentation, detection, or 3D understanding. * Experience taking a ML model from research ...

FieldAI

Senior Software Engineer, 3D Computer Vision

Irvine, CA · On-site

$131K - $173K/yr

... segmentation, and primitive extraction * Design efficient algorithms for large-scale, unstructured ... Experience processing LiDAR, RGB-D, or photogrammetry datasets * Familiarity with Linux development ...

Apolis

Perception Engineer

Detroit, MI

Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data. * Develop sensor calibration techniques (intrinsic and ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Develop and optimize deep learning models for depth estimation, object detection, segmentation ... Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo)

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3D Lidar Segmentation information

What are some common challenges faced by professionals working in 3D LiDAR segmentation, and how are they typically addressed?

Professionals in 3D LiDAR segmentation often encounter challenges such as dealing with noisy or incomplete data, managing large-scale datasets, and ensuring accurate object classification in complex environments. These challenges are commonly addressed through advanced preprocessing techniques, robust machine learning algorithms, and leveraging high-performance computing resources. Collaboration with data engineers, software developers, and domain experts is also essential to refine segmentation models and improve overall system performance.

What are the key skills and qualifications needed to thrive as a 3D Lidar Segmentation Specialist, and why are they important?

To thrive as a 3D Lidar Segmentation Specialist, you need a strong background in computer vision, machine learning, and point cloud data processing, often supported by a degree in computer science, engineering, or related fields. Familiarity with tools such as Python, C++, ROS, and libraries like PCL and Open3D, as well as experience with deep learning frameworks (e.g., TensorFlow, PyTorch), is essential. Analytical thinking, attention to detail, and effective problem-solving are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These competencies ensure accurate scene understanding, efficient workflow, and the development of robust solutions for applications like autonomous vehicles and robotics.

What is 3D Lidar segmentation?

3D Lidar segmentation is the process of dividing or clustering raw Lidar point cloud data into meaningful parts or objects, such as vehicles, pedestrians, buildings, or vegetation. This technique is crucial for applications like autonomous driving, mapping, and robotics, where understanding the environment in three dimensions is essential. By segmenting the data, algorithms can better identify and track objects, enabling safer navigation and more detailed scene analysis.
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3D Lidar Segmentation jobs near you
Machine Learning Engineer - Perception

Machine Learning Engineer - Perception

Aeva, Inc.

Mountain View, CA • On-site

$154K - $222K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago

Job description

About us:
Aeva's mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. 
 
Role Overview:
As an ML Engineer on our perception team, you will own the development and deployment of 3D perception models across object detection, semantic segmentation, and lane detection. Your work will directly shape how our autonomous systems perceive and understand the world.
What you will be doing
  • Train and evaluate 3D perception models for object detection, segmentation, and lane detection
  • Improve model performance across challenging conditions such as long range and sparse point clouds
  • Deploy perception models to production and own the full lifecycle from research to real-world integration
  • Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field
  • Monitor model performance in production and iterate rapidly based on real-world feedback
  • Build auto-labeling pipelines using vision-language models to accelerate data annotation
What will you have
  • MS or PhD in CS, Robotics, or a related field
  • Hands-on experience with 3D object detection on LiDAR point clouds
  • Experience using VLMs for auto-labeling or offline perception tasks
  • Strong Python and PyTorch skills
  • Familiarity with large-scale dataset pipelines and annotation workflows
  • Experience with multi-object tracking or sensor fusion is a plus
$154,900 - $222,365 a year
Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future.
 
Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.
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About AEVA

Sourced by ZipRecruiter

Industry

Manufacturing and manufacturing

Company size

1 - 10 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017

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