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Signal Processing Engineer (Acoustic)

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Osprey Systems is building Canada’s sovereign counter-drone capability. Our distributed detection and interception system is designed for the environments where everything else fails: extreme cold, GPS-denied, and network-degraded conditions. We serve critical infrastructure operators and defense customers with a single product line, built in Canada.

We are a small founding team backed by a clear funding pathway through Canadian defense innovation programs and paid civilian deployments.

The role

Some targets are effectively silent on the radio spectrum. They are not silent acoustically. You will own acoustic sensing end to end: microphone array design, beamforming and localization, signature characterization, and the real-time pipeline running on embedded compute, all of it working in wind, industrial noise, crowd noise, and cold air that changes how sound propagates.

What you will do

  • Design microphone array geometry and the acoustic front end with weatherproof, cold-rated packaging.
  • Build the real-time beamforming and direction-of-arrival pipeline for detection and localization.
  • Develop robust performance in hostile acoustic environments, including very cold air.
  • Extract classification features including harmonic structure and signatures that separate targets of interest from ambient machinery at range.
  • Optimize for real-time execution on embedded compute within a strict power budget.
  • Build acoustic data collection and ground-truth workflows for field campaigns and winter characterization.
  • Help shape engineering culture, tooling, and hiring as the team grows.

What we are looking for

  • 4+ years in signal processing with real deployed systems, ideally array processing or acoustics.
  • Deep DSP fundamentals: filtering, spectral estimation, detection theory, beamforming or direction finding.
  • C++ for real-time pipelines; Python for research and analysis.
  • Experience taking algorithms from notebook to embedded target under latency and power constraints.
  • Hands-on measurement comfort: build the rig, calibrate the array, trust your own data.
  • Willingness to do winter field campaigns.

Nice to have: TDOA or MUSIC-family localization; machinery or vehicle acoustic signatures; MEMS arrays and custom PCB collaboration; wind-noise mitigation; ML applied to audio; sonar or ultrasonics; early-stage startup experience.

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More about this job

Responsibilities

Design and implement acoustic sensing systems, including microphone arrays, beamforming and localization pipelines, target signature classification, and real-time embedded processing. Develop and validate robust performance in challenging environments, optimize for power and latency constraints, and establish field data collection and ground-truth workflows.

Requirements

Requires at least four years of signal-processing experience with deployed systems, strong DSP fundamentals, and proficiency in C++ and Python. Candidates should have experience moving algorithms from research to embedded deployment, hands-on measurement and array calibration skills, and willingness to participate in winter field campaigns.

Skills

  • Digital Signal Processing
  • Acoustic Sensing
  • Microphone Array Design
  • Beamforming
  • Direction-of-Arrival Estimation
  • Acoustic Localization
  • Signal Detection
  • Spectral Estimation
  • C++
  • Python
  • Embedded Systems
  • Real-Time Processing
  • Acoustic Classification
  • Array Calibration
  • Wind-Noise Mitigation
  • Field Data Collection

Visa sponsorship

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Categories

  • Engineering
  • Technology
  • Science & Research
  • Security & Safety

Keywords

  • Acoustic Sensing
  • Counter-Drone Systems
  • Microphone Arrays
  • Array Geometry
  • Acoustic Front End
  • Beamforming
  • Direction-of-Arrival
  • Time Difference of Arrival
  • MUSIC Localization
  • Digital Signal Processing
  • Filtering
  • Spectral Estimation
  • Detection Theory
  • Acoustic Signatures
  • Harmonic Structure
  • C++
  • Python
  • Embedded Compute
  • Real-Time Pipelines
  • Latency Optimization
  • Power Budgets
  • MEMS Arrays
  • Custom PCBs
  • Wind-Noise Mitigation
  • Machine Learning for Audio
  • Sonar
  • Ultrasonics
  • Field Campaigns
  • Winter Characterization
  • GPS-Denied Environments

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