DSP ML Engineer for Real-Time RF & SDR (Hybrid)

Agile Electromagnetics

Ottawa

Hybrid

CAD 90,000 - 120,000

Full time

7 days ago
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Benefits offered by this job

Casual dress
Dental care
Disability insurance
On-site parking
Paid time off
Vision care
Work from home

Job summary

Agile Electromagnetics in Ottawa, Ontario, is seeking a DSP Machine Learning Engineer to lead algorithm development and system integration for RF systems. The role collaborates with software, FPGA, and hardware teams to deliver innovative solutions and requires ability to communicate vision and work collaboratively.

The position is hybrid, based at the Kanata office with access to Controlled Goods; preferred candidates hold a degree in EE/CE/CS with DSP/ML focus and Python proficiency.

Qualifications

  • Bachelor's in Electrical Engineering, Computer Engineering, or Computer Science with 2+ years of relevant experience, or a Master's/PhD in a related field specializing in DSP or machine learning.
  • Understanding of digital signal processing theory and implementation.
  • Knowledge of machine learning algorithms.
  • Experience programming in Python with demonstrated ability to prototype algorithms and solutions.
  • Excellent problem-solving skills and the ability to conduct independent research.
  • Excellent English communication skills.
  • Experience with SDRs is an asset.
  • Experience with UAS and/or 4/5G communications system is an asset.
  • Experience with real-time software or FPGA development is an asset.

Responsibilities

  • Create, research and analyze algorithms for RF systems.
  • Model signal processing and ML solutions in Python.
  • Implement signal processing algorithms on AMD RFSoC boards and software defined radios.
  • Review and communicate solutions to the wider team.
  • Collaborate with FPGA and software developers to implement algorithms in real-time.
  • Participate in every phase of product development, including requirements definition, architecture and concept definition, specification and selection of components, algorithm definition, detailed implementation, integration and characterization.

Skills

Python
Signal processing
Machine learning
Problem solving
Communication

Education

Bachelor's in Electrical Engineering / Computer Engineering / CS
Master's or PhD in DSP or ML

Tools

SDR platforms
FPGA development

Job description

Agile Electromagnetics in Ottawa, Ontario, is seeking a DSP Machine Learning Engineer to lead algorithm development and system integration for RF systems. The role collaborates with software, FPGA, and hardware teams to deliver innovative solutions and requires ability to communicate vision and work collaboratively.

The position is hybrid, based at the Kanata office with access to Controlled Goods; preferred candidates hold a degree in EE/CE/CS with DSP/ML focus and Python proficiency.

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