Senior Algorithm Researcher

Or Yehuda, Israel

Job description

LeddarTech, headquartered in Quebec City with R&D centers in Montreal and Tel Aviv, We specialize in AI-based low-level sensor fusion and perception software. 

Our solutions enable the deployment of advanced driver assistance systems (ADAS), autonomous driving (AD) and parking applications. Utilizing advanced AI and computer vision algorithms, our automotive-grade software, LeddarVision™, generates precise 3D environmental models for improved decision making and navigation safety.

OUR MISSION

Deliver high-performance AI automotive software that enables the market to deploy ADAS features reducing the number of road accidents and making transportation more enjoyable and efficient.

YOUR MISSION

Join our team as an Algorithm & Perception Solutions Specialist at LeddarTech, a leading high-tech software development company in the Autonomous Vehicle industry! Provide cutting-edge Algorithm & Perception Solutions for ADAS L3-L5 through applied research and algorithm design. If you're passionate about computer vision, machine learning, and autonomous driving technology, we want you on our team to shape the future of our company!

YOUR MISSION

Main Job Tasks, Duties, and Responsibilities

  • Conduct literature surveys, proof of concepts, and full product-oriented algorithms research.
  • Design block-level Python reference code and integrate it into the system-level Python reference code.
  • Plan and design test metrics and evaluation methods for the algorithms.
  • Plan, monitor, and work closely with the data team for data collection, data handling, and defining labeling policies.
  • Perform design reviews and knowledge sharing to ensure high-quality algorithm development.
  • Deliver algorithms to the software team, support bit-accurate activities, and deliver evaluation reference code to the application team.
  • Integrate algorithm systems and ensure seamless functionality.
  • Coordinate labeling policies to maintain data accuracy and consistency.
  • Contribute to system-level design for optimal performance.
  • Conduct POCs (Proof of Concepts) for new technologies to drive innovation.

The ideal person for this job will have

  • PhD or MSc in Electrical Engineering, Computer Science, or Physics from top-tier universities.
  • Proven experience in algorithm development and innovation in the fields of computer vision (CV) and machine learning (ML).
  • Demonstrated ownership of algorithms and end-to-end R&D research cycles.
  • Expertise in computer vision and machine learning algorithm development.
  • Ability to take ownership and independently conduct R&D in specific research fields.
  • Experience in Deep Neural Network (DNN) training.
  • Proficiency in Python coding.
  • Proficiency in C++ coding.
  • Team player with strong collaboration skills.
  • Ability to cooperate effectively with other groups and customers.
 

OUR  VALUES

Customer - Our customers are at the foundation of our actions.

People - Our team's well-being and talent is our vector for growth. 

Innovation - We innovate in all aspects of our business on our path to market leadership.

Courage - Our culture nurtures courage and empowerment.    

LIFE AT LEDDARTECH

Flexibility: Many positions in the organization allow for flexible and hybrid work hours.

Global Collaborative Multi-Disciplinary Teams:  As a lean organization, we foster an environment where everyone’s input matters. You will have the opportunity to influence our technology roadmap with your innovative ideas and contribute to our company's mission. 

The Right Tools Provided: Regardless of your position, we will outfit you with all the tools you need to be successful.

Investment in Learning: Opportunities to attend seminars, trainings, and conferences to enhance your skills.

PERKS

  • Employee Assistance Program. 
  • Free onsite parking.
  • Public transit accessibility.
  • Comprehensive compensation package including short term incentives and long term incentives.
  • Generous paid time off.

#Envision the Road Ahead!

Peers

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