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Embedded Systems Engineer Entry Level Jobs in Toronto, ON

Volatus Aerospace

UAV Field Engineer

Woodbridge, ON · On-site

Hands-on experience with CAD(Solidworks), electronics, embedded systems, autopilots, or robotics ... Experience with programming languages (Python, C++, C#, Assembly) * Advanced RPAS License issued by ...

Volatus Aerospace

UAV Field Engineer

Woodbridge, ON · Hybrid

Hands-on experience with CAD(Solidworks), electronics, embedded systems, autopilots, or robotics ... Experience with programming languages (Python, C++, C#, Assembly) * Advanced RPAS License issued by ...

Invision AI

Machine Learning Engineer

Toronto, ON · On-site

Working knowledge of embedded systems and their constraints * Sound software engineering practices, including automated testing, code review, version control, and continuous integration * Strong ...

Invision AI

Machine Learning Engineer

Toronto, ON · Hybrid

Working knowledge of embedded systems and their constraints * Sound software engineering practices, including automated testing, code review, version control, and continuous integration * Strong ...

Amd

Sr. RTL Design Engineer

Thornhill, ON · Hybrid

... and embedded systems. Grounded in a culture of innovation and collaboration, we believe real ... ASIC Design Engineer with hands-on experience across all aspects of IP RTL design, including ...

Amd

Profiling Tool Development Engineer

Thornhill, ON · Hybrid

... and embedded systems. Grounded in a culture of innovation and collaboration, we believe real ... Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or ...

Amd

IP Post-Silicon Validation Engineer

Thornhill, ON · Hybrid

... and embedded systems. Grounded in a culture of innovation and collaboration, we believe real ... The AMD NBIO Team is on the lookout for a dynamic, upbeat IP Validation Design Engineer to join our ...

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All JobsEmbedded Systems Engineer JobsEmbedded Systems Engineer Entry Level JobsEmbedded Systems Engineer Entry Level Jobs in Toronto, ON

Embedded Systems Engineer Entry Level information

See Toronto, ON salary details

$24.8K

$77.2K

$145.5K

How much do embedded systems engineer entry level jobs pay per year?

As of Sep 6, 2026, the average yearly pay for embedded systems engineer entry level in Toronto, ON is $77,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,874.00 and $92,570.00 per year, depending on experience, location, and employer.

What does an entry-level embedded systems engineer do?

As an entry-level embedded systems engineer, you carry out your duties under the supervision of an experienced embedded systems engineer to learn the necessary responsibilities and skills for the job. Entry-level embedded systems jobs include tasks that focus on hardware and software design and the components that go along with them. You design, troubleshoot, and test hardware and software, electronic circuits, mechanical equipment and machines, and other systems related to computers and computer equipment. Entry-level embedded systems engineer roles are usually for recent or soon-to-be graduates of a bachelor’s degree program in computer science, computer engineering, or a similar field.

What are the key skills and qualifications needed to thrive as an entry-level embedded systems engineer?

To thrive as an Entry-Level Embedded Systems Engineer, you need a solid understanding of C/C++ programming, microcontroller architectures, and basic electronics, usually backed by a bachelor's degree in electrical engineering, computer engineering, or a related field. Familiarity with tools such as oscilloscopes, debuggers, integrated development environments (IDEs) like Keil or Eclipse, and version control systems like Git is typical. Strong problem-solving skills, attention to detail, and effective teamwork help you excel in this collaborative and detail-oriented environment. These competencies are crucial for developing reliable embedded solutions that meet technical requirements and project deadlines.
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What are the most commonly searched types of Embedded Systems Engineer jobs in Toronto, ON?

The most popular types of Embedded Systems Engineer jobs in Toronto, ON are:

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For Embedded Systems Engineer Entry Level jobs in Toronto, ON, the most frequently searched job titles are:

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Embedded Systems Engineer Entry Level jobs near you
Infographic showing various Embedded Systems Engineer Entry Level job openings in Toronto, ON as of August 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 $77,168 per year, or $37.1 per hour.

Senior / Staff Software Engineer, High-Performance Onboard Algorithms

Waabi

Toronto, ON • On-site, Remote

CA$148K - CA$260K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago

Key responsibilities

  • Develop and optimize real-time signal processing algorithms for sensor data acquisition, processing, fusion, and filtering.

  • Collaborate with engineering and hardware teams to ensure system efficiency and robustness.

  • Work on shipping high-performance sensor processing software leveraging parallel computing architectures and low-level system programming.

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 Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline 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 others) 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 Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.

- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.

- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.

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

Qualifications:

- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).

- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.

- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.

- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.

- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).

Bonus:

- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.

- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.

- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).

- Experience with embedded systems.

- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $148,000 - $260,000 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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