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Lidar Engineer Jobs in Chicago, IL (NOW HIRING)

Autonomy Engineer (UAV)

Chicago, IL · On-site

$130K - $180K/yr

Experience integrating sensors such as LiDAR, cameras, or GPS systems * Experience with embedded ... Engineers who build and experiment outside of work * Strong ownership and accountability for ...

Experience integrating sensors such as LiDAR, cameras, or GPS systems * Experience with embedded ... Engineers who build and experiment outside of work * Strong ownership and accountability for ...

Master the full Citylogix platform from LiDAR data collection and digital twin to EAM, capital planning, and work order management. Work with Sales Engineer to deliver tailored demos that speak to ...

Coordinate with engineers, surveyors, and other team members to ensure seamless integration of CAD ... Experience processing survey and LiDAR data to develop base maps and deliverables required

Stay current with BIM tools and emerging technologies * Assist in modeling in Revit from LiDAR scans and CAD backgrounds What You Will Bring: * Bachelor's degree in Architecture or Engineering, or ...

BIM Coordinator

Chicago, IL · On-site

$75K - $94K/yr

Stay current with BIM tools and emerging technologies * Assist in modeling in Revit from LiDAR scans and CAD backgrounds What You Will Bring: * Bachelor's degree in Architecture or Engineering, or ...

... engineers, scientists, digital innovators, program and construction managers and other ... surfaces using LiDAR, DEMs, survey data, and breaklines. * Manage coordinate systems, data ...

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Lidar Engineer information

See Chicago, IL salary details

$26

$55

$79

How much do lidar engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for lidar engineer in Chicago, IL is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.18 per hour, depending on experience, location, and employer.

What is a lidar engineer?

A Lidar Engineer is responsible for designing, developing, and implementing LiDAR (Light Detection and Ranging) systems for applications such as autonomous vehicles, mapping, and remote sensing. They process and analyze LiDAR data to generate 3D models, improve sensor accuracy, and integrate hardware with software systems. This role requires expertise in laser scanning technology, data processing algorithms, and programming languages like Python or C++. Lidar Engineers often collaborate with robotics, geospatial, and computer vision teams to enhance perception and navigation capabilities.

What does a lidar engineer do?

As a Lidar Engineer, your daily tasks may include designing and calibrating lidar systems, analyzing point cloud data for accuracy, developing software tools for data processing, and collaborating with surveyors or GIS specialists. You might also troubleshoot hardware or software issues, document technical methodologies, and participate in field tests or deployment. Frequent collaboration with cross-functional teams—such as robotics, automotive, or remote sensing professionals—is common to integrate lidar technologies into broader applications. This hands-on, dynamic role provides exposure to both engineering challenges and real-world implementation, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a lidar engineer?

To thrive as a Lidar Engineer, you need a solid background in physics, mathematics, and optical engineering, as well as experience with lidar systems and data processing, often backed by a relevant engineering degree. Familiarity with lidar data analysis software (such as LAStools, ArcGIS, or CloudCompare), programming languages (like Python or C++), and certifications in remote sensing are highly advantageous. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These skills are crucial for developing accurate lidar solutions, troubleshooting complex systems, and ensuring successful project outcomes in multidisciplinary environments.

How do you become a Lidar engineer?

To become a Lidar engineer, typically a bachelor's degree in electrical engineering, computer science, robotics, or a related field is required. Gaining experience with sensor technology, 3D mapping, and programming languages like C++ or Python is important, along with familiarity with Lidar hardware and data processing software. Advanced roles may require a master's degree or specialized certifications in related areas.

What are the most commonly searched types of Lidar Engineer jobs in Chicago, IL?

The most popular types of Lidar Engineer jobs in Chicago, IL are:

What are popular job titles related to Lidar Engineer jobs in Chicago, IL?

For Lidar Engineer jobs in Chicago, IL, the most frequently searched job titles are:

Infographic showing various Lidar Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,006 per year, or $55.3 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 20 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).