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Embedded System Developer Jobs in Kitchener, ON (NOW HIRING)

onsemi

Machine Learning Engineer, Edge AI

Waterloo, ON

CA$120K - CA$170K/yr

Experience with TinyML, embedded inference runtimes, or DSP programming. * Familiarity with multimodal AI systems. onsemi is excited to share the base salary range for this position i$120,000 - $170 ...

Voyis

Product Manager

Waterloo, ON

CA$100K - CA$150K/yr

Technical knowledge of software/firmware, electrical & embedded, and mechanical system for the ... Voyis is a small, highly capable team of engineers and problem-solvers building technology used in ...

New

Teledyne

Design Specialist - Software (III)

Waterloo, ON

CA$76K - CA$102K/yr

Lead the design and development of embedded software for diverse applications. * Architect software ... A Bachelor`s degree in computer science, computer/software/systems design/electrical engineering ...

Voyis

Manufacturing & Test Engineer

Waterloo, ON

CA$80K - CA$115K/yr

Background in optical, vision, electrical, or electro-mechanical systems as well as some experience with embedded computing technologies. * Engineering degree in Mechatronics, Mechanical, Optics ...

Teledyne

Electronics Design Engineer

Waterloo, ON

Interact with mechanical, FPGA, embedded software, and test engineers. * Work with our Sustaining Engineering group with issues that they are dealing with. * Work closely with Systems, Software ...

Sonova

Product Cybersecurity Expert

Kitchener, ON · Hybrid

Embed cybersecurity across the secure product lifecycle for connected medical devices, embedded ... engineering, system/software architecture, product development, project management, or DevSecOps ...

JBT Marel Corporation

Field Service Technician

Guelph, ON · Remote

CA$25 - CA$35/hr

As a Field Service Engineer at JBT Marel your most important responsibility is to provide customer ... You will work with electrical/pneumatic/embedded controllers/servo systems (dependent on experience ...

Proton

Senior Product Designer

Paris, ON

Designers sit embedded within engineering teams, involved in every stage - ceremonies, scoping ... Contribute to and enforce the Proton Design System - icons, components, interaction patterns, and ...

Maple Reinders

Concrete Lead Hand

Guelph, ON · On-site

CA$43.15 - CA$49.14/hr

Inspect formwork and embedded items prior to concrete placement * Identify and correct deficiencies ... Knowledge of wall and slab formwork systems (Meva or similar) * Ability to read and interpret ...

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All JobsEmbedded System Developer JobsEmbedded System Developer Jobs in Kitchener, ON

Embedded System Developer information

See Kitchener, ON salary details

$32.2K

$99.4K

$155.3K

How much do embedded system developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for embedded system developer in Kitchener, ON is $99,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,370.00 and $118,022.00 per year, depending on experience, location, and employer.

What are embedded system developers?

Embedded system developers are engineers who design, program, and maintain specialized computing systems that are part of larger devices, such as cars, medical equipment, home appliances, and industrial machines. These professionals work with both hardware and software to ensure that the embedded systems are efficient, reliable, and meet specific requirements. Their work often involves programming microcontrollers, integrating sensors and actuators, and optimizing resource-constrained environments. Embedded system developers play a crucial role in creating the technology behind many everyday products.

What are the key skills and qualifications needed to thrive as an Embedded System Developer, and why are they important?

To thrive as an Embedded System Developer, you need a solid background in computer science or electrical engineering, with expertise in C/C++ programming, microcontrollers, and real-time operating systems. Familiarity with hardware debugging tools, integrated development environments (IDEs), and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication help developers innovate and collaborate in cross-functional teams. These competencies are critical for designing reliable, efficient embedded solutions that power modern devices across industries.

What are some common challenges faced by Embedded System Developers when working on cross-functional teams?

Embedded System Developers often collaborate with hardware engineers, software developers, and product managers. A common challenge is ensuring seamless integration between hardware and software components, as timing and resource constraints can lead to unexpected issues. Clear communication and thorough documentation are crucial for aligning specifications and troubleshooting problems that span both domains. Developers also need to stay adaptable, as project requirements may evolve rapidly based on feedback from other teams or testing results.

What is the difference between Embedded System Developer vs Firmware Engineer?

AspectEmbedded System DeveloperFirmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fields; certifications like ARM or IoT certifications are commonBachelor's in Electrical Engineering, Computer Science, or related; similar certifications often preferred
Work EnvironmentDesigning and developing embedded hardware-software systems, often in manufacturing or IoT industriesWriting low-level firmware for microcontrollers and embedded devices, typically in consumer electronics or automotive sectors
Employer & Industry UsageTech companies, automotive, industrial automation, IoT firmsConsumer electronics, automotive, medical devices, and embedded hardware manufacturers

Both roles involve working with embedded hardware and software, often requiring similar educational backgrounds and certifications. However, Embedded System Developers focus on designing entire embedded systems, while Firmware Engineers specialize in writing low-level code that runs directly on microcontrollers. The roles are complementary and often overlap in industry applications.

Embedded System Developer jobs near you
Machine Learning Engineer, Edge AI

Machine Learning Engineer, Edge AI

onsemi

Waterloo, ON

CA$120K - CA$170K/yr

Full-time

Re-posted 21 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware, the challenge shifts from pure algorithm implementation to complex hardware orchestration.

This role is about more than just writing kernels; it's about defining the firmware layer that sits between high-level AI frameworks and our custom silicon. You will be responsible for how our DSPs manage, schedule, and feed data to these accelerators. We need a veteran who can look at a PyTorch model and determine the best way to tile memory, manage DMA transfers, and synchronize processing to ensure we hit our ultra-low-power targets while maximizing throughput. You will also be the primary technical voice influencing our future hardware specs to ensure our accelerators are actually "firmware-friendly."

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

What You'll Need

  • Strong Python, PyTorch and ONNX experience developing, training, evaluating, and deploying machine learning models.
  • Deep understanding of modern AI architectures including CNNs, Transformers, state-space models, and other emerging neural network approaches.
  • Experience optimizing, deploying and debugging models across a wide spectrum of edge devices, from ultra-constrained microcontrollers and DSPs to high-performance AI accelerators and GPUs.
  • Experience developing machine learning solutions for one or more sensing domains, including time-series signals, audio, computer vision, or ultrasonic sensing.
  • Hands-on experience with model compression and deployment techniques such as quantization, pruning, graph optimization, and operator/kernel optimization.
  • Practical experience translating research concepts into production-quality systems.
  • Strong understanding of model performance tradeoffs involving latency, memory footprint, power consumption, and accuracy.
  • 4+ years of industry and/or academic experience in machine learning research, model development, or AI systems engineering.

Nice to Have

  • CUDA development and GPU optimization experience.
  • Experience with TensorRT, ONNX Runtime, TVN, IREE, or similar inference frameworks.
  • Experience with TinyML, embedded inference runtimes, or DSP programming.
  • Familiarity with multimodal AI systems.

onsemi is excited to share the base salary range for this position i$120,000 - $170,000 exclusive of fringe benefits or potential bonuses.The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of internal equity of our current team members. We also offer a competitive benefits package

What You Will Do

  • Lead research and development efforts in edge AI and embedded machine learning.
  • Design, train, evaluate, optimize, and deploy machine learning models spanning applications from low-power 1D sensor processing through high-dimensional sensing systems such as ultrasonic arrays.
  • Investigate and develop novel architectures for constrained edge deployments, balancing performance, power, latency, and memory requirements.
  • Optimize AI workloads through techniques such as quantization, pruning, graph optimization, kernel acceleration, and hardware-aware training.
  • Deploy models across a variety of hardware platforms, including onsemi solutions and third-party edge AI hardware.
  • Stay current with advances in machine learning research and translate promising techniques into scalable, production-ready products.
  • Work closely with hardware, firmware, and software teams to co-design AI solutions that maximize efficiency, performance, and scalability on resource-constrained edge platforms

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