Signal Processing Engineer (Acoustic)
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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.
- 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.
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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
Not detected in the job text
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