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Embedded System Jobs in Waterloo, 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 ...

JBT Marel Corporation

Field Service Technician

Guelph, ON · Remote

CA$25 - CA$35/hr

You will work with electrical/pneumatic/embedded controllers/servo systems (dependent on experience) You will complete on-site evaluations, install machine enhancements, and appropriately test and ...

Cornerstone Building Brands

Branch

Brantford, ON

... systems and metal accessories. Cornerstone Building Brands' broad, multi-channel distribution ... Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in ...

Avidbots

Senior Hardware Developer

Kitchener, ON

Tackle design challenges ranging from high-level system architecture, power distribution, embedded and analog design to detailed schematic and PCB design, debugging, and testing on a board and system ...

Maple Reinders

Concrete Lead Hand

Guelph, ON · On-site

CA$43.15 - CA$49.14/hr

  • Medical

  • Retirement

  • PTO

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 ...

Planitar Inc

Senior Product Designer

Waterloo, ON

... embedded in it). You set the direction for both over the next few quarters and do the hands-on work ... Design here is still young - just two designers, a partially-built design system, and evolving ...

Voyis

Manufacturing & Test Engineer

Waterloo, ON · On-site

CA$80K - CA$115K/yr

  • Medical

  • Vision

  • PTO

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

Sonova

Product Cybersecurity Expert

Kitchener, ON · Hybrid

Embed cybersecurity across the secure product lifecycle for connected medical devices, embedded ... system/software architecture, product development, project management, or DevSecOps, including 3+ ...

Planitar

Senior Product Designer

Waterloo, ON · On-site

  • Medical

  • Dental

... embedded in it). You set the direction for both over the next few quarters and do the hands-on work ... Design here is still young -- just two designers, a partially-built design system, and evolving ...

Proton

Senior Product Designer

Paris, ON

  • Medical

  • Retirement

  • PTO

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 ...

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Showing results 41-60

All JobsEmbedded System JobsEmbedded System Jobs in Waterloo, ON

Embedded System information

What is the difference between Embedded System vs Firmware Engineer?

AspectEmbedded SystemFirmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fieldsBachelor's in Computer Engineering, Electrical Engineering, or related fields
Work EnvironmentHardware and software development for embedded devicesDeveloping low-level code for hardware devices
Industry UsageConsumer electronics, automotive, medical devicesEmbedded devices, IoT, consumer electronics

Embedded System and Firmware Engineer roles often overlap, but embedded systems focus on designing complete hardware-software solutions, while firmware engineers specialize in writing low-level code that runs directly on hardware. Both roles require similar educational backgrounds and work in related industries, but their specific focus areas differ.

Is embedded system still a good career?

Embedded system engineering remains a strong career choice due to ongoing demand for devices in automotive, healthcare, consumer electronics, and industrial automation. Professionals with skills in C/C++, real-time operating systems, and hardware integration are highly valued, and the field offers opportunities for growth in IoT and embedded software development.

What cities near Waterloo, ON are hiring for Embedded System jobs?

Cities near Waterloo, ON with the most Embedded System job openings:

Infographic showing various Embedded System job openings in Waterloo, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Machine Learning Engineer, Edge AI

onsemi

Waterloo, ON

CA$120K - CA$170K/yr

Full-time

Re-posted yesterday

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 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

What Onsemi employees say

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