Principal Perception Engineer

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.

To apply, please send resume and cover letter to 501 Massachusetts Ave, Cambridge, MA

02139. Attn: L. Yu. Ref# LPE0321