Perception Engineer

ISEE; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

ISEE is seeking a highly skilled researcher to advance perception and sensor systems for autonomous driving. You will lead algorithm design, develop perception pipelines, and supervise team members while contributing to recruitment.

You will prototype and deploy algorithms across object detection, localization, fusion, and multi-object tracking, and stay current with CV/PR research to drive innovation within the vehicle fleet.

Qualifications

• Master’s degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or Computer Vision.
• 18 months of working experience in Machine Learning and Sensor Calibration through algorithm development.

Responsibilities

• Provide daily technical and execution guidance on research and development tasks to perception team members.
• 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.

Skills

Machine learning

Sensor Calibration

Algorithm development

Research

Education

Master’s degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or Computer Vision

Job description

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.