Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.
This is a remote position.
This role supports both active client engagements and upcoming automation projects. Qualified candidates will be considered for immediate openings as well as future opportunities aligned to system implementations, upgrades, and expansion initiatives.
Overview
This role drives industrial automation initiatives through the development and deployment of robotic solutions designed to improve operational efficiency, accuracy, and scalability within fulfillment and manufacturing environments.
- Program, configure, and deploy industrial robots (Fanuc, ABB, KUKA, Universal Robots)
- Integrate robotic systems with conveyors, vision systems, and controls platforms
- Develop and test robotic applications for palletizing, picking, and goods-to-person systems
- Optimize robotic cycle times, accuracy, and throughput performance
- Support simulation and modeling for system validation prior to deployment
- Troubleshoot robotic and integration issues during commissioning and production
- Collaborate with controls, software, and mechanical engineering teams
Requirements
Qualifications
- 3–7+ years of robotics engineering or automation experience
- Proficiency in robot programming and system integration
- Experience with vision systems, sensors, and EOAT design
- Knowledge of ROS, Python, or C++ preferred
- Experience in high-volume fulfillment or industrial environments
Location: Remote or based at client sites depending on project requirements.
Similar Jobs
.png)
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Software
Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.
Top Skills:
C++GazeboGitMujocoPythonRosRos2
Artificial Intelligence • Computer Vision • Machine Learning • Analytics
Develop robotics-focused integrations for FiftyOne, support the open source community, and create technical blogs, tutorials, videos, courses, and documentation. Apply computer vision and machine learning to robotics perception, navigation, manipulation, and autonomous systems. Organize and speak at robotics events, collaborate through GitHub and Slack, and work with robotics datasets, multimodal sensor formats, simulation environments, models, and perception frameworks.
Top Skills:
FiftyoneGitIsaac SimLerobotMcapNumpyPythonPyTorchSlackTensorFlowVoxel51
Artificial Intelligence • Information Technology • Software
Develop datasets, evaluation methods, validation tools, and quality standards for robotics and embodied AI systems. Translate research needs into dataset specifications, design collection protocols, audit multimodal robotics data, and run experiments analyzing how data quality and structure affect model performance. Collaborate with research, engineering, data providers, and customers to improve robotics data offerings.
Top Skills:
Dataset EvaluationEmbodied AiImitation LearningMultimodal LearningPythonReinforcement LearningRobot LearningRoboticsSensor DataSimulationVision-Language-Action Models
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
