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 thesesystems;- 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 is an autonomous driving company that develops perception and sensor stack technology for autonomous vehicles. The company designs and deploys algorithms for critical autonomous driving functions including object detection, localization and mapping, multi-object tracking, and sensor fusion. ISEE works with multimodal sensors such as cameras, LiDARs, GNSS, IMUs, and RADARs to build robust perception systems. The company conducts research and development to improve autonomous vehicle systems through algorithm design, simulation, and real-world fleet testing.
