Develop and implement algorithms for computer vision and AI in robotics, focusing on slam, deep learning, and cloud solutions.
We are looking for a skilled Algorithm and Robotics Engineer to develop and implement advanced computer vision, slam and AI algorithms for autonomous robotic systems. The role involves hands-on work in deep learning, image-based training, and cloud-based development.
Key Responsibilities
Develop and optimize algorithms in:
- Computer vision and AI-based perception
- Image processing and training deep learning models on large-scale datasets
- Slam, Localization, Mapping and motion planning
- Implement real-time software solutions in Python and C++ on Linux platforms.
- Use AWS for data processing, model training, and deployment pipelines.
- Collaborate with hardware and software teams to integrate algorithms into embedded or robotic systems.
- Conduct data analysis, model validation, and performance optimization.
Requirements
- MSc or higher in Computer Science, Electrical, Robotics, or related engineering fields.
- 5+ years of experience in algorithm development for robotics, computer vision, or AI systems.
- Strong programming skills in Python and C++.
- Hands-on experience with machine learning, AI image training, and computer vision frameworks (e.g., PyTorch, TensorFlow, OpenCV).
- Familiarity with AWS and Linux-based development environments.
- Experience with ROS2 is an advantage.
Nice to Have
- Experience with motion control, optical flow, or visual odometry.
- Knowledge of edge AI and real-time deployment on embedded systems.
Top Skills
AWS
C++
Linux
Opencv
Python
PyTorch
Ros2
TensorFlow
Similar Jobs
Fintech
The Training Lead is responsible for designing and delivering training programs, conducting needs assessments, and collaborating with teams to improve performance and operational excellence.
Top Skills:
Articulate RiseArticulate StorylineCamtasiaCanvaIncontactMicrosoft Office SuiteSalesforceService Cloud
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead Software Engineer responsible for designing and developing API services, collaborating with business teams, and ensuring high-quality delivery of applications.
Top Skills:
AWSC#MySQLNode.jsReactReduxSQLSQL Server
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Sales Engineer I, you will collaborate with Account Executives to demonstrate and architect solutions using Superhuman's AI productivity tools, enhancing customer workflows and value delivery.
Top Skills:
Ai TechnologiesCodaGmailSalesforce
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


