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16 Jul 2022

Algorithm Manager – Computer Vision (relocation to Canada)

LeddarTech – Envision the road ahead!
Canada

LeddarTech is a leader in environmental sensing solutions for autonomous driving (AD) and advanced driver assistance systems (ADAS). We develop the most flexible, robust and accurate sensing, sensor fusion and perception technologies, which enable our customers to solve critical sensing challenges across the entire value chain of the automotive and mobility market, from passenger cars to commercial and industrial applications such as construction, mining and agriculture.

These solutions accelerate ADAS and AD deployment and contribute to making our roads and cities smarter, which increases the safety of drivers, passengers and vulnerable road users, leading to reduced traffic congestion, greater efficiencies and a reduction of Co2 emissions as autonomous vehicles are more broadly adopted.

Why join LeddarTech

Working at LeddarTech means working in a unique and fast-growing technology company involved in significant emerging markets. Our biggest asset is our people and we have grown our team by over 400%, expanding in Europe, Asia, the USA and within Canada in just 2 years. It’s a dynamic and exciting workplace where, through interactions with our international teams, you will have an opportunity to make a difference while also continuing to enhance your skills and expertise.

YOUR MISSION

Management of the Algorithm and Perception Solutions group (50%)

  • Manage, plan, organise, control and evaluate the activities and operations of the Algorithm group.
  • Set working methodologies, tools and common research environment
  • Define and constantly improve IT & Dev ops infrastructure for deep learning training
  • Define interfaces, flows and working methodologies with SW & App teams
  • Member of the Sensor Fusion and Perception engineering management team
  • Design the Perception Solution architecture
  • Contribute to company level research priorities, road maps, working plans and deliveries
  • Support customers engagement in early stages: RFIs , RFQs and product definitions
  • In collaboration with the management team, coordinate with the relevant employees to monitor the progress of projects and be able to produce regular reports on their progress and/or any adjustments required.

Research and Algorithm Expert (20%)

  • Constantly stay up to date with the state of the art in the academy and industry
  • Define the research road maps, POCs and experiments
  • Collaborate with the academy and AVATAR companies on cooperation’s and joint development

People Manager (30%)

  • Recruiting, evaluating, career developing and personal care for the entire group members
  • Mentor Team Leaders and Individual contributors
  • Define and share clear road maps, set milestones and track deliverables

The ideal person for this job will have

  • PhD or Msc in Electrical Engineers / Computer Science / Physics from top tier universities
  • Relevant field of research
  • Proven vast experience in algorithm development and management in the fields of Signal Processing CV and ML
  • An expert in Computer vision and machine learning algorithm management
  • Paper reviews and new technologies evaluations
  • Projects management
  • Hands on abilities in DNN training, Python coding and C++ coding
  • Leader
  • People Manager

Here’s what to expect on your LeddarTech journey:

  • Flexibility: Many positions in the organization allow for flexible work hours.
  • Collaboration: As a lean organization, everyone’s input matters. You will have the opportunity to influence our technology roadmap and contribute to our common success.
  • A Thriving Work Environment: Our offices are ultra-modern and be assured you’ll never have a boring day here.
  • 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
  • Excellent Compensation and Benefits

How to Apply

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