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Digital Signal Processing Jobs in Quebec (NOW HIRING)

Aversan

Electrical Hardware Project Lead

Montreal, QC · On-site

... signal processing, and motor control are also required. Location: Montreal, QC Job Type: Permanent -Hybrid *PR or citizen, preferably* Key Responsibilities * Lead a Digital/Analog design team for ...

Alstom

Digital Services Architect 1

Saint-bruno, QC · On-site

Expertize on technical architecture, Cloud services and IT processes delivery desirable ... Previous experience on a signaling project (system application engineering, T&C) is a plus

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Digital Signal Processing information

See Quebec salary details

$26.5K

$130.8K

$246.5K

How much do digital signal processing jobs pay per year?

As of Jul 6, 2026, the average yearly pay for digital signal processing in Quebec is $130,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What kind of projects or problems do Digital Signal Processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.

What is a Digital Signal Processing job?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What jobs use digital signal processing?

Digital Signal Processing (DSP) skills are used in roles such as DSP engineer, audio engineer, communications engineer, and radar systems engineer. These jobs involve designing, implementing, and optimizing algorithms for audio, video, telecommunications, and sensor data analysis, often requiring knowledge of programming languages like MATLAB or C++ and experience with signal processing tools.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a specialized field that involves designing algorithms and systems for analyzing and modifying signals. While AI can automate some tasks within DSP, it is unlikely to fully replace DSP professionals, as expertise in signal analysis, hardware integration, and algorithm development remains essential. DSP skills continue to be valuable in industries like telecommunications, audio engineering, and radar systems.

Is digital signal processing a good career?

Digital Signal Processing (DSP) is a specialized field within engineering that involves analyzing and modifying signals using mathematical techniques and software tools like MATLAB. It offers opportunities in industries such as telecommunications, audio, and defense, often requiring strong programming skills and knowledge of algorithms. The field is considered technically challenging but can provide stable employment and growth potential for those with relevant expertise.

What are the key skills and qualifications needed to thrive in the Digital Signal Processing position, and why are they important?

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

What engineers make $500,000 a year?

In the field of digital signal processing, senior engineers with extensive experience, advanced skills in algorithms and hardware design, and leadership roles can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or within large technology companies. Such compensation often includes bonuses, stock options, or profit sharing. Achieving this level typically requires a combination of specialized expertise, advanced degrees, and significant industry experience.
Digital Signal Processing jobs near you
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Posted 9 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.

The position

We're looking for a Signal Processing Engineer to join our algorithm and development team, working on remote vital sign monitoring from video. You'll develop and validate algorithms that extract clinical-grade physiological signals (heart rate, blood pressure, respiration) from camera data, working closely with computer vision engineers in our algorithm team.

What You'll Do:

  • Design and implement signal processing algorithms for extracting vital signs from video-based sensors (rPPG, rBP)
  • Develop real-time filtering, denoising, and feature extraction methods to achieve clinical-grade accuracy
  • Build validation pipelines comparing our video-based measurements against clinical reference devices (ECG, PPG, BP monitors)
  • Help design studies that ensure millisecond-level synchronization between video streams and reference sensors for accurate ground truth
  • Integrate with the computer vision pipeline (C++) to leverage multi-modal signal enhancement techniques
  • Architect cloud-based QA and automated verification systems for reproducible algorithm validation
  • Prototype algorithms in Python and C++ before deploying them on our production system

What We're Looking For:

  • Master's degree in Electrical Engineering, Biomedical Engineering, or related field (or PhD)
  • Strong fundamentals in digital signal processing, statistical methods, and real-time systems
  • Deep expertise in physiological signal processing (Radar, PPG, ECG, respiration, blood pressure)
  • Experience processing low-frequency physiological signals with challenging SNR characteristics
  • Proficiency in both Python (prototyping) and C++ (production integration)
  • Experience with spectral analysis, adaptive filtering, and time-domain methods for real-time applications
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years industry experience developing signal processing algorithms for medical or physiological sensing applications (or equivalent with PhD)

Bonus Points:

  • Experience with contact-based and contactless vital sign measurement technologies especially radar
  • Background working with medical-grade measurement devices and clinical reference standards
  • Experience with embedded signal processing (ARM, edge devices)
  • Knowledge of motion artifact removal and noise reduction in challenging environments
  • Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)
  • Background in medical devices, regulated environments, or clinical validation studie

What We Offer:

  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll define our signal processing approach
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Talented, international team tackling meaningful problems in healthcare
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity