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3D Lidar Segmentation Jobs (NOW HIRING)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$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)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... segmentation, tracking, and 3D scene understanding using multi-modal sensor data. • Build ... RGB-D, LiDAR, stereo). • Experience with data annotation tools, dataset management, and ...

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3d Lidar Segmentation information

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.

What are the key skills and qualifications needed to thrive as a 3D LiDAR segmentation specialist?

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 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.
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Infographic showing various 3D Lidar Segmentation job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Cleared Guidance and Control Engineer

Pasadena, CA • On-site

M&S Consulting
IT Services • 11 - 50 employees
Learn more about M&S Consultingexternal

$150 - $200/hr

Other

Posted 18 days ago

Job description

M&S (which stands for Management and Solutions) was conceived in 2002 with the vision of creating highly effective teams of elite consultants to deliver strategic process and technology solutions to enterprise organizations across the US. Our commitment to delivery in complex environments and long-term customer success has merged process and technology into innovative solutions, established deep pockets of expertise, and enabled innovative transformation for evolving businesses.

We have intentionally cultivated steady growth focused on being approachable and helpful to our dearly valued clients and closely cared-for employees. M&S people simply “care hard”, and this reflects in our work products, our interactions, and our culture.

Overview:

As a cleared Guidance and Control Engineer, you will work for the Guidance and Control Section in the Control Analysis Group. You will contribute to the advancement and development of spacecraft and payload/instrument guidance, navigation, and control (GNC) architectures, designs, algorithms, simulations, flight software implementations, performance validation and on-orbit commissioning and operations.

Responsibilities include:
  • Conceiving, designing, analyzing, simulating, and evaluating complex GNC subsystem performance
  • Delivering advanced algorithms and associated flight software code for integration and test at the GNC subsystem and system level
  • Developing and executing detailed subsystem test and verification plans at the system level
  • Leading teams that develop and operate GNC systems and coordinating the validation and documentation of subsystem performance prior to delivery
Qualifications:

A Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field with at least 6 years of relevant experience; or a Master’s degree with at least 4 years of experience; or a PhD with at least 2 years of experience.

Required:
  • Active TS/SCI clearance
  • Strong technical background in modern guidance, estimation, and control for aerospace systems
  • Experience in the research and development of advanced GNC systems for precision pointing
  • Demonstrated ability to work effectively in teams and lead technical efforts; excellent communication and presentation skills
Highly desired experience includes:
  • GNC system architectures
  • Precision payload dynamics and controls
  • Advanced control methods (linear and nonlinear)
  • Estimation (Kalman filtering, random processes, nonlinear filtering, computer vision)
  • Linear and nonlinear dynamics, multi-rigid-body dynamics
  • On-board guidance and navigation (optimization, convex methods)
  • Attitude estimation and control
  • Precision pointing control
  • Pointing, acquisition, and tracking systems
  • GNC for autonomous aerial vehicles
  • Rotorcraft dynamics and control
  • Vision-based navigation
  • Terrain-relative navigation (TRN)
  • 3D lidar-based navigation
  • Fast steering mirror control
  • High-bandwidth mechatronics
  • Active and passive vibration control
  • Control of gimbaled or articulated platforms
  • Controlled optics
  • Optical wavefront and path-length control
  • Structural modeling and finite element analysis
  • GNC-related on-board and ground calibration
  • Integrated modeling (flexible structures/optics/thermal, dynamics and control)
  • Time-domain simulation and multi-rate systems
  • Small spacecraft design
  • Multi-vehicle formation flying
  • Control of large monolithic or segmented telescopes
  • Control of large distributed systems
  • Aerodynamic control for deep-space planetary exploration
  • Comfortable working with Matlab/Simulink
Additional desired experience:
  • Strong background in technology development
  • Experience with instrument/optical pointing systems and integrated GNC hardware/software
  • Experience with lasers, detectors, fast steering mirrors, and high-rate control systems
  • Experience in autonomous system design and spacecraft autonomy
  • Demonstrated ability to manage cost and schedule in new technology development
  • General familiarity with signal processing
Additional Requirements:
  • Must be a US Citizen or Permanent Resident
  • This is an onsite role. It is not remote. Must be in or near Pasadena, CA
  • Must have an Active TS/SCI clearance

M&S Consulting proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a protected veteran, or any other characteristic protected by law.

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