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
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