ISEE
Senior Perception Engineer
TLDR
Develop algorithms for autonomous driving systems, lead R&D and algorithm design discussions, and contribute novel ideas in the field of computer vision and pattern recognition.
ISEE is seeking an experienced full-time Senior Perception Engineer to join our team.
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.
Job requirements:
*Master’s degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or Computer Vision.
*At least 4+ years of work (non-academic) experience
ISEE builds advanced autonomous yard truck solutions to modernize the global supply chain. Our technology targets the logistics and transportation industry, aiming to streamline operations, boost efficiency, and enhance safety in industrial yard environments.
- Founded
- Founded 2017
- Employees
- 51-200 employees
- Industry
- Automotive
- Total raised
- $58M raised