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Robotics Hardware Engineer Jobs in Chicago, IL (NOW HIRING)

Automation Engineer

Chicago, IL · On-site

$70K - $80K/yr

This includes basic electrical, mechanical and pneumatic functions of the robot and connections ... Competency with Allen Bradley PLC programming hardware and software. * Competency with Allen ...

Design, train, and deploy ML models for robotic control, quality prediction, and process ... Optimize model inference for edge deployment on GPU‑accelerated hardware in production Computer ...

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

... deployed robotic systems and engineering permanent, root-cause fixes rather than repeat repairs ... Lead system-level continuous improvement initiatives, including hardware and software upgrades

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Lead system-level continuous improvement initiatives, including hardware and software upgrades

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Lead system-level continuous improvement initiatives, including hardware and software upgrades

Electrical Engineer

Elgin, IL · On-site

$110K - $120K/yr

Work with modern PLCs, HMIs, servo motion, instrumentation, robotics, and industrial controls ... industrial control hardware. * Develop electrical schematics, one-line diagrams, pneumatic ...

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The Paint Engineering Coordinator supports for the design of paint jigs, robotic paint programs and ... control hardware, and tooling. * Advice paint processes, methods, robot programs, jigs, fool ...

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Showing results 41-60

Robotics Hardware Engineer information

See Chicago, IL salary details

$52.6K

$150.8K

$202.6K

How much do robotics hardware engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for robotics hardware engineer in Chicago, IL is $150,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $168,000.00 per year, depending on experience, location, and employer.

Is there a high demand for robotics hardware engineers?

Robotics hardware engineers are in high demand due to the growing adoption of automation and robotics across industries such as manufacturing, healthcare, and logistics. Employers seek professionals skilled in designing, testing, and integrating robotic systems, often requiring knowledge of embedded systems, sensors, and control hardware. The field offers strong job prospects with competitive salaries and opportunities for advancement.
What are popular job titles related to Robotics Hardware Engineer jobs in Chicago, IL? For Robotics Hardware Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Robotics Hardware Engineer jobs in Chicago, IL look for? The top searched job categories for Robotics Hardware Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Robotics Hardware Engineer jobs? Cities near Chicago, IL with the most Robotics Hardware Engineer job openings:
Infographic showing various Robotics Hardware Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $150,757 per year, or $72.5 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics, and process optimization.
Responsibilities:
• Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
• Develop reinforcement learning and imitation learning systems for robot task planning
• Build predictive maintenance models using sensor data to anticipate equipment failures
• Implement anomaly detection for real-time quality monitoring during automated assembly
• Optimize model inference for edge deployment on GPU-accelerated hardware in production
• Develop deep learning pipelines for object detection, segmentation, and pose estimation
• Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification
• Implement 3D point cloud processing for construction material recognition
• Design and train models for visual quality inspection using depth cameras and industrial imaging
• Build ML data pipelines from sensor acquisition through model training and deployment
• Establish data labeling, versioning, and management workflows for training datasets
• Implement model monitoring, A/B testing, and continuous improvement in production
• Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
• Integrate ML models with ROS2-based robot control for real-time inference
• Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
• Collaborate with robotics engineers on sensor selection, placement, and calibration
• Support scaling ML systems across multiple production cells and sites
Qualifications:
Required:
• 4+ years hands-on ML engineering building and deploying production models
• Deep proficiency with PyTorch or TensorFlow for model development and training
• Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
• Understanding of reinforcement learning, imitation learning, or robot learning approaches
• Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
• Strong Python with experience in C++ for performance-critical components
• Experience with ML infrastructure: data pipelines, experiment tracking, model serving
• Proficiency with Linux, Docker, Git, and CI/CD workflows
• Understanding of real-time system constraints for ML inference in production
Preferred:
• MS or PhD in Machine Learning, Computer Science, Robotics, or related field
• Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
• Background in manufacturing, industrial automation, or construction technology
• Experience with ROS/ROS2 integration for ML-powered robotics
• Published research or patents in computer vision, robot learning, or related ML
• Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Company:
BUILDING TOMORROW'S HOMES, FASTER AND SMARTER The Lightspeed Integrated Walls, Floors and Roof Systems are built with advanced software and AI driven industrial robots, allowing us to seamlessly craft the walls, floors and roofs, integrating the framing, MEPs, insulation, and drywall in a single, efficient manufacturing line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.