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Internship Camera Systems Engineer Jobs in Toronto, ON

Senior Product Engineer, Ontario

North York, ON · On-site

CA$100K - CA$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Product Engineer is responsible for the design, development, and lifecycle management of ... cameras, networking equipment, and related systems into product designs. * Lead prototyping ...

New

Senior Product Engineer, Ontario

North York, ON · On-site

CA$100K - CA$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Product Engineer is responsible for the design, development, and lifecycle management of ... cameras, networking equipment, and related systems into product designs. * Lead prototyping ...

New

Senior Embedded Engineer

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge of Home Automation, Control Systems or Internet of Things * Knowledge of camera pipelines ... Final Interview will consist of a real-time programming assignment followed by any final questions ...

... systems designed for the Construction and Engineering industries. About CMiC CMiC is the leading ... for a co-op/internship placement * Preferred Areas of Expertise: AI/Machine Learning, Java ...

New

Responsibilities Hardware & System Testing * Execute test plans and test cases for hardware ... internships, hands-on projects, or lab coursework). * Foundational understanding of hardware ...

FPGA Development Tools Engineer

Toronto, ON · On-site

CA$100K - CA$130K/yr

Our mission is to empower developers and system architects to rapidly design and deploy cutting ... Coursework or internship experience in compiler development or hardware synthesis. * Familiarity ...

... internships, personal projects, or academic projects are highly valued). * Technical Skills ... Familiarity with version control systems (e.g. ADO, GitHub). * Basic understanding of command-line ...

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Cooler and thermal system optimization via embedded control algorithms * GUI improvements on our ... Camera management and video handling * Computer vision and feature detection * Machine learning or ...

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

... systems. - Be encouraged to submit and publish work externally at top machine learning, computer ... Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ...

DevOps Engineer

Toronto, ON · On-site

CA$90K - CA$115K/yr

Degree in Software Engineering, IT, or related discipline, or equivalent practical experience * 5+ years of experience in DevOps/SRE/system administration or related internships/projects

DevOps Engineer

Toronto, ON · On-site

CA$90K - CA$115K/yr

Degree in Software Engineering, IT, or related discipline, or equivalent practical experience * 5+ years of experience in DevOps/SRE/system administration or related internships/projects

Showing results 21-40

Internship Camera Systems Engineer information

What is the difference between Internship Camera Systems Engineer vs Camera Systems Engineer?

AspectInternship Camera Systems EngineerCamera Systems Engineer
QualificationsEnrolled in or recent graduate of relevant engineering or technical degreeBachelor's or higher in electrical, computer, or systems engineering
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional role, responsible for design, development, and testing
Industry UsageUsed in training, educational, or entry-level contexts within tech and automotive sectorsEstablished role in automotive, security, and surveillance industries

The main difference is that an Internship Camera Systems Engineer is a temporary, entry-level position aimed at gaining experience, while a Camera Systems Engineer is a full-time professional responsible for designing and maintaining camera systems. Interns typically work under supervision, whereas full engineers lead projects and make technical decisions.

What are popular job titles related to Internship Camera Systems Engineer jobs in Toronto, ON?

For Internship Camera Systems Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What cities near Toronto, ON are hiring for Internship Camera Systems Engineer jobs?

Cities near Toronto, ON with the most Internship Camera Systems Engineer job openings:

Infographic showing various Internship Camera Systems Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

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 20 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 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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