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Signal Processing Jobs in Ontario (NOW HIRING)

Cisco

Mixed-Signal Design Developer

Kanata, ON · On-site

Meet the Team Acacia designs intelligent transceivers using advanced signal processing and photonic integration for the 100G, 400G, 800G and 1.6T+ bit speed fiber optic transmission market deployed ...

Lightmatter

This will require a solid understanding of process technology, state of the art in chip design, and ... up, control, and digital signal processing. * Demonstrated strong problem solving skills ...

Nokia

Coherent DSP Engineer

Kanata, ON

This role requires deep expertise in digital communication theory, advanced physical layer modeling, signal processing, lab testing and debugging. The successful candidate will work within a ...

Andersen

Engineer II

Strathroy, ON · On-site

CA$86K - CA$110K/yr

Analyzes and recommends engineering or design solutions for product, process, design, or other technical challenges. * Capable of leading cross-functional teams having broader, less-defined initial ...

Stefanini Group

FPGA Design Engineer

Kanata, ON · On-site

Digital Signal Processing (DSP) is a must have skill for the role. Ideal Candidate: FPGA designer engineer with Radio experience. Working with 4G/5G Radios. 7+ years of experience Heavy System ...

Beyond SOF

CA$121K - CA$140K/yr

GEO's products feature advanced image signal processing, unique eWARP processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in ...

Stefanini Group

FPGA Design Engineer

Kanata, ON · On-site

Digital Signal Processing (DSP) is a must have skill for the role. Ideal Candidate: FPGA designer engineer with Radio experience. Working with 4G/5G Radios. 7+ years of experience Heavy System ...

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All JobsSignal Processing JobsSignal Processing Jobs in Ontario

Signal Processing information

See Ontario salary details

$23.5K

$118.3K

$216K

How much do signal processing jobs pay per year?

As of Jun 15, 2026, the average yearly pay for signal processing in Ontario is $118,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $154,500.00 per year, depending on experience, location, and employer.

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

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

Is DSP difficult?

Signal processing jobs that involve digital signal processing (DSP) typically require a strong understanding of mathematics, algorithms, and programming skills in languages like MATLAB or Python. While challenging, the difficulty depends on the complexity of the projects and the individual's background in engineering or related fields. Gaining proficiency often involves coursework, hands-on experience, and familiarity with tools such as DSP chips or software environments.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or electrical engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large tech companies or industries with high demand for technical expertise.

Is ML a high paying job?

Machine learning (ML) roles, including those in signal processing, are generally well-paid due to the high demand for specialized skills such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but advanced positions often offer competitive compensation compared to other engineering fields.

What do you do in signal processing?

In signal processing, a professional analyzes, modifies, and interprets signals such as audio, video, or sensor data to improve quality, extract information, or prepare data for further use. This involves using algorithms, mathematical techniques, and tools like MATLAB or Python to filter noise, enhance signals, and develop systems for communication, imaging, or data analysis.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.

What are the most commonly searched types of Signal Processing jobs in Ontario? The most popular types of Signal Processing jobs in Ontario are:
What are popular job titles related to Signal Processing jobs in Ontario? For Signal Processing jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Signal Processing jobs in Ontario look for? The top searched job categories for Signal Processing jobs in Ontario are:
What cities in Ontario are hiring for Signal Processing jobs? Cities in Ontario with the most Signal Processing job openings:
Signal Processing jobs near you

Research Engineer, Sensor Signal Processing

Waabi

Toronto, ON • On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi's signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will...

- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.

- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.

- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).

- Collaborate with Waabi's autonomy and hardware teams to ensure the robustness of the entire system.

- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Qualifications:

- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.

- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.

- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.

Bonus:

- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.

- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.

- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers

- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.

- Solid knowledge in performance profiling and optimization.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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