ZipRecruiter

Log In

1

Digital Signal Processing Jobs in Quebec (NOW HIRING)

Alstom

TCMS Test technician

Saint-bruno, QC · Hybrid

... signaling and digital mobility solutions, we offer our diverse customers the broadest portfolio in ... Follow established processes, methods, and tools related to these activities About you Beyond your ...

Alstom

TCMS Test technician

Saint-bruno, QC · Hybrid

... signaling and digital mobility solutions, we offer our diverse customers the broadest portfolio in ... Follow established processes, methods, and tools related to these activities About you Beyond your ...

Alstom

TC&IS System Engineer 1

Saint-bruno, QC · Hybrid

... signalling and digital mobility, we offer our diverse customers the broadest portfolio in the ... Implement and manage change control processes for the signaling subsystems, maintaining accurate ...

Alstom

TC&IS System Engineer

Saint-bruno, QC · Hybrid

... signalling and digital mobility, we offer our diverse customers the broadest portfolio in the ... Implement and manage change control processes for the signaling subsystems, maintaining accurate ...

next page

Showing results 1-20

All JobsDigital Signal Processing JobsDigital Signal Processing Jobs in Quebec

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 Jun 15, 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 various roles such as audio and speech processing engineers, communications engineers, radar and sonar system designers, and image processing specialists. These jobs often require knowledge of algorithms, programming languages like MATLAB or C++, and experience with signal processing hardware or software 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 real-time processing remains essential. DSP skills continue to be valuable in developing advanced communication, audio, and image processing systems.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often with extensive experience, advanced skills, and additional compensation like bonuses or stock options. High-level positions in technology companies or executive engineering roles are more likely to reach this salary level.

Is signal processing a good career?

Digital Signal Processing is a specialized field within engineering that involves analyzing and modifying signals using mathematical techniques and software tools like MATLAB or Python. It offers opportunities in industries such as telecommunications, audio, and defense, often requiring a strong background in mathematics and programming. The field provides steady demand and potential for advancement, making it a viable career choice for those interested in technology and problem-solving.

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 are popular job titles related to Digital Signal Processing jobs in Quebec? For Digital Signal Processing jobs in Quebec, the most frequently searched job titles are:
Digital Signal Processing jobs near you
Infographic showing various Digital Signal Processing job openings in Quebec as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,835 per year, or $62.9 per hour.
Signal Processing Engineer

Signal Processing Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Posted 19 days ago

Be an early applicant

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