Senior Research Engineer

Montreal

Il n'est plus possible de postuler
à cette offre d'emploi

Octasic

Job Description

Founded in 1998, Octasic is a leadingworldwide provider of systems and complete solutions in advancedcommunications. We provide state-of-the-art integration software, and hardwareplatforms for worldwide mobile wireless solutions.

Octasic has offices worldwide and continuesto expand.

Why choose Octasic :

  • Itis a workplace at the cutting edge of technology, allowing you to meet wirelesstechnology experts in a growing company.
  • Competitivecompensation (salaries, benefits, gym membership discount, RRSP, stock optionpurchase program, reimbursement for public transit, showers on the premises,and complimentary beverages and snacks every day)
  • Work-familybalance (flexible schedule, possibility of working remotely, etc.)
  • Friendlyand collaborative work atmosphere and many social activities all year long
  • Octasicis a company involved in its community and is located in a picturesqueneighbourhood full of local cafés, restaurants, parks, bicycle paths, and otherlocal shops.
  • Proximityto various public transportation services (Angus Shuttle, 10 min. walk fromPrefontaine station)

About the Role :

We are looking for candidates withexpertise in AI, telecommunications, reinforcement learning, computer visionand deep learning to join our growing team.

As a AI / ML Research Engineer, you willbe involved in multiple innovative projects to develop solutions to improve ourcurrent and upcoming wireless products.

Description :

As the part of the Research and Developmentteam your tasks will include :

  • Research, Design and develop AImodels to meet project requirements
  • Develop system simulations tovalidate new feature functionalities
  • Perform statistical analysisand clean-up on data sets
  • Involved in variousprototyping, benchmarking, concept proofs and literature review
  • Involved in the design andmaintenance of the experiment pipeline on Cloud
  • Participate in selectedindustry conferences

Requirements

Education& Experience

  • Engineer / Master degree incomputer science, mathematics, or electrical Engineering
  • 10+ years of hands-onexperience applying AI / ML to practical technology solutions

Skillsand Qualifications

  • Proven experience with AI / MLtechniques applied to detection, classification and control
  • Signal Processing, Statistics,Estimation / Detection Theory, and Information Theory
  • Analytical and problem-solvingskills
  • Working knowledge of cloudcomputing such as Azure, AWS
  • Familiar with AI / ML frameworkssuch as Tensorflow, ONNX or Pytorch
  • Programming experience in C,C++, Python and MATLAB
  • Ability to work well bothindependently and within a team

Preferredqualifications

  • Knowledge of communicationsystem theory and wireless systems
  • Experience with sensingtechnologies and edge computing
  • Experience with efficientimplementation of AI / ML in hardware
  • Experience with Real-timeOperating System, devices driver
  • 1 hour ago