This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.
Job duties: Provide daily technical and execution guidance on research and development tasks
to perception team members. Specifically,
• Research, design, and develop algorithms for autonomous driving systems to solve
challenging problems in ISEE's Perception and Sensor stack.
• Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of:
Object Detection, Localization and Mapping, Fusion and Multi Object Tracking;
• Develop systems for multimodal Sensor Fusion and Calibration using multiple grade
sensors including but not limited to Cameras, LiDARs, GNSS, IMUs and RaDARs.
• Invent and design new algorithms, tools, and models in emerging research areas to
improve the complex autonomous vehicle systems;
• Develop simulations for ISEE's systems and identify discrepancies between virtual and
real-world performance for future development and analysis.
• Contribute novel research ideas and collaborate with team members to conduct research
data analysis. Lead the algorithm design discussions to solve technical problems for these
systems;
• Stay up to date with current research in the field of Computer Vision and Pattern
Recognition and share relevant research with the team.
• Manage and supervise the work of other perception team members.
• Contribute in the recruiting process for perception and software candidates.
Job requirements:
- Master’s degree in Electrical Engineering, Computer Engineering, Electrical and
Computer Engineering or Computer Vision plus 18-month working experience.
- 18-month working experience must in Machine learning and Sensor Calibration through
algorithm development.
Top Skills
Cameras
Computer Vision
Gnss
Imu
Lidar
Localization
Machine Learning
Mapping
Multi Object Tracking
Object Detection
Radar
Sensor Calibration
Sensor Fusion
Similar Jobs
Computer Vision • Information Technology • Machine Learning • Other
Develop algorithms for processing sensor data, fuse multi-modal streams, aid in 3D scene reconstruction, and ensure robust production code primarily in Python.
Top Skills:
AirflowAWSDbtDockerPythonSnowflakeSQL
Computer Vision • Information Technology • Machine Learning • Other
Develop and deploy sensing capabilities for aquaculture, focusing on signal processing, sensor fusion, 3D reconstruction, feature detection, and production engineering in Python.
Top Skills:
AirflowAWSDbtDockerPythonSnowflakeSQL
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Business Intelligence • Automation • Manufacturing
Develop robotic welding solutions using machine learning and computer vision. Lead algorithm implementation, oversee research, and mentor junior engineers.
Top Skills:
C++Deep LearningLidarNeural NetworksPythonRgbTof
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
