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Embedded Vision Developer

Planitar · Waterloo, ON

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Expect questions on real-time vision pipelines, memory and latency trade-offs, and debugging camera/sensor issues. Be ready to walk through past embedded or vision projects, code samples, and how you validated accuracy and performance on device.

Fit summary

Strong fit if you enjoy hands-on embedded systems and computer vision in a Waterloo, ON on-site setting at Planitar. Best aligned with engineers who can move fluidly between algorithm work, hardware constraints, and product delivery.

Day in the role

As an Embedded Vision Developer at Planitar in Waterloo, ON, a typical day centers on camera and sensor pipelines on embedded hardware: implementing or tuning vision algorithms, integrating with firmware and drivers, profiling performance and memory, and debugging with real capture hardware and test fixtures. You would collaborate with hardware and product teammates on requirements, run regression on edge devices, and ship incremental improvements to on-device vision features.

Skills to emphasize

Useful depth for this title includes C/C++ on embedded Linux or RTOS, computer vision libraries, camera ISP and calibration basics, and profiling on constrained CPUs/GPUs or DSPs. No certification package is specified for this listing.

FAQ from this listing

Is this role remote?

No. The listing is for Waterloo, ON and is not marked remote.

What does an Embedded Vision Developer focus on?

On-device computer vision: algorithms, camera integration, performance, and reliability on embedded platforms.

Where is Planitar hiring for this job?

Waterloo, Region of Waterloo, Ontario, Canada.

Company facts (cached)

Website: planitar.com

Public cache only — not an employee review.

Role overview (listing rewrite)

Planitar invites applications for a full-time Embedded Vision Developer role in Waterloo, ON, ideal for professionals passionate about building efficient vision capabilities directly into compact hardware systems. About This Position The Embedded Vision Developer opening at Planitar places you at the centre of creating reliable image-processing pipelines that run on resource-limited devices right here in Waterloo, ON. In this full-time position you will translate high-level vision requirements into production-ready code that performs under tight power and memory budgets, helping the team deliver practical embedded solutions for everyday use cases that local job seekers associate with an Embedded Vision Developer career. Responsibilities Architect and code real-time vision modules that execute on microcontrollers and system-on-chip platforms Select, configure and calibrate camera sensors and supporting peripherals for consistent image capture Port and accelerate algorithms so they meet latency and accuracy targets on target silicon Partner with hardware and firmware colleagues to resolve integration issues and validate end-to-end pipelines Profile, debug and document system behaviour under varying lighting and environmental conditions Contribute to code reviews and continuous-improvement practices that keep the vision stack robust and maintainable What You Bring Proven experience writing efficient C or C++ for embedded environments, preferably alongside vision libraries such as OpenCV Solid grounding in digital image processing, optical flow, feature detection or related computer-vision fundamentals Familiarity with common microcontroller tool chains, RTOS concepts and hardware-software co-design practices Ability to read schematics, interpret sensor datasheets and collaborate across disciplines to ship working prototypes Degree in computer engineering, electrical engineering, computer science or an equivalent technical field, or comparable practical background Clear communication skills that allow you to explain technical trade-offs to teammates and stakeholders Working at Planitar Planitar is hiring for this role and offers a supportive team environment. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Generated for personal interview prep · 2026-07-21 UTC · getajob.ai