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

You led a research team in AI and ideally in large language models (LLMs) for robotic applications. You have published in renown conferences or journals (CVPR, ICCV, NEURIPS, ICML...). You possess a strong network within these research communities and are recognized for your innovative capabilities, along with experience in an industrial environment. You are passionate about sharing your expertise, promoting technology both internally and externally.

DEPARTMENT MISSION

The Advanced Engineering group is researching the use of generative AI to enhance the realism of synthetic data used to train sensor fusion and perception networks, as well as to generate entirely new scenes. The group is also researching the use of large language models to assist with scenario generation and AI explainability challenges. These innovative efforts are not only aimed at increasing the cost-effectiveness, diversity, and reusability of training data but also at revolutionizing the way AI systems learn and interact with the world. By leading these advancements, you will shape the future of AI development and deployment for Leddartech.

Main Job Tasks, Duties, and Responsibilities

  • Lead technology development at Leddartech, establishing a group focused on LLM applications for autonomous vehicle
  • Advocate for technologies both within and outside of Leddartech
  • Deliver literature surveys, proofs of concepts, product-oriented algorithms research, performance reports and future direction recommendations.
  • Manage pre-products development based on these technologies
  • Collaborate with teams to deploy knowledge and technology throughout the company

The Ideal person for this job will have

  • PhD in AI, Electrical Engineering, Computer Science, or Robotic
  • 5+ years significant experience in research team management, for AI, LLM, computer vision: autonomous environment data generation, world model, explainability and control
  • Publications in renowned conferences and journals related to artificial intelligence and algorithms
  • data driven simulation, robotic, autonomous vehicle an asset
  • Previous experience in deploying algorithms to real-world applications for industry applications
  • Stare of the art software development and deployment experience

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!

 

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