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Computer Vision Jobs in British Columbia (NOW HIRING)

lululemon

Applied AI/ML Scientist

Vancouver, BC

... NLP, computer vision, multimodal, or time series modeling techniques to enterprise-scale datasets that are a mix of structured and unstructured data Developing experimentation frameworks and ...

lululemon

Staff AI/ML Applied Scientist

Vancouver, BC · On-site

... computer vision, multimodal, or timeseries modeling techniques to enterprise-scale data sets that are a mix of structured and unstructured data Establishing frameworks for productionizing AI ...

Motorola

Sr. Optical Designer

Vancouver, BC · Hybrid

Experience writing scripts for computer vision, automation and analysis in Matlab, Python or equivalent with or without AI copilot * Experience with stray light analysis, optical coatings and related ...

Bayshore HealthCare

Pharmacy Labeller

Burnaby, BC · On-site

The employee frequently is required to stand, walk, sit, and use hands to prepare packages for shipment, use computer and other equipment and reach with hands and arms. Vision requirements include ...

Fortinet

IT Helpdesk Specialist

Burnaby, BC · On-site

CA$65K - CA$80K/yr

Train computer users. * Maintain daily performance of computer systems. * Walk customer through ... vision coverage, including a Health Spending Account and a Personal Spending Account that gives you ...

Fortinet, Inc.

IT Helpdesk Specialist

Burnaby, BC · On-site

CA$65K - CA$80K/yr

Train computer users. * Maintain daily performance of computer systems. * Walk customer through ... vision coverage, including a Health Spending Account and a Personal Spending Account that gives you ...

Bayshore HealthCare

Pharmacist

Burnaby, BC · On-site

... computer and other equipment The employee may be required to lift 25-50lbs The employee is frequently required to stand, walk, and sit. Vision requirements include close vision, peripheral vision ...

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Computer Vision information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in British Columbia? The most popular types of Computer Vision jobs in British Columbia are:
What are popular job titles related to Computer Vision jobs in British Columbia? For Computer Vision jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in British Columbia look for? The top searched job categories for Computer Vision jobs in British Columbia are:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in British Columbia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Director of Engineering, Simulation & Rendering

Director of Engineering, Simulation & Rendering

Parallel Domain

Vancouver, BC • On-site

CA$200K - CA$250K/yr

Full-time

Posted 10 days ago

Job description

About the Role

Before an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments.

Our simulation core and rendering pipeline are how that platform earns its credibility with customers. The current stack is rooted in real-time game engine technology, and we're evolving it to incorporate scene reconstruction (gaussian splatting, NeRFs), neural rendering, and diffusion-based techniques. Leading this evolution is central to where the team is going.

We're hiring a Director of Engineering to lead our Simulation & Graphics organization. Reporting to the VP of Engineering, you'll own the technical direction for two pods totaling roughly 10-15 people: a simulation and rendering pod focused on the engine and runtime, and a content and technical-art pod focused on world-building, assets, and tooling. You'll set strategy, hire and grow high-performing teams, and partner across engineering, ML, product, and customer-facing functions on cross-cutting initiatives that expand what our customers can do with the platform.

Responsibilities

  • Set technical direction. Own the multi-quarter roadmap for simulation, rendering, and content. Translate company-level objectives into a sequenced plan, and make the prioritization calls when the team can't do everything at once.

  • Guide technical evolution. Lead the team through the next phase of the platform-incorporating scene reconstruction, neural rendering, and ML-powered content techniques alongside the existing real-time engine stack-without losing sight of the production system our customers rely on today.

  • Manage and develop the team. Hire when you need to, level up the team you have, and create the conditions where strong technical contributors do their best work.

  • Drive cross-functional execution. Partner with leaders across ML, platform, SDK, QA, and product to ship coherent, end-to-end capabilities. Own the operating cadence: planning, dependency management, and release readiness.

  • Stay close to the engineering. You won't be writing production code, but you'll review architecture, weigh in on hard tradeoffs, and have informed opinions about the work.

  • Recruit and close. Be the front door for senior candidates and the closer on the highest-priority hires. Top-tier rendering, simulation, and graphics talent is hard to find and expensive to mis-hire.
 
Required Qualifications

  • Leadership track record. 10+ years of engineering experience with at least 5 years leading technical teams, including managing senior individual contributors and ideally other managers.

  • Domain expertise. A track record of delivering at the intersection of real-time rendering, simulation, or related graphics-heavy domains: video games, computer animation, VFX, virtual production, autonomous simulation, or similar.

  • Experience leading change. You've taken a team through significant technical change-an engine upgrade, a re-architecture, a tools migration, a shift in content paradigm-and you understand the human side as well as the technical side.

  • Technical judgment. You can hold your own in a discussion about renderer architecture, asset pipelines, GPU performance, and the tradeoffs between fidelity, performance, and authoring cost.

  • Communication. You can explain a thorny tradeoff to a non-technical executive in five sentences and write a roadmap the team actually uses.

  • Artistic sensibility. A real feel for what makes a scene look right, and the ability to speak that language with the artists and engineers building it.
 
Preferred Qualifications

  • Unreal Engine. Hands-on background and an opinionated view on its strengths and limitations.

  • Modern rendering techniques. Familiarity with reconstruction-based methods (gaussian splatting, NeRFs), neural rendering, or diffusion-based content generation.

  • C++ depth. Track record of leading C++-heavy codebases. Our engineering team works primarily in C++.

  • Adjacent fields. Direct exposure to machine learning, computer vision, or autonomous systems.

  • Cloud infrastructure. Experience with cloud-scale infrastructure for rendering and simulation.
 
What Makes a Great Candidate
You think like a builder. You're opinionated about the craft of rendering and simulation but undogmatic about the tools. You hire people stronger than you, give them room to operate, and take pride in the team's results. You communicate clearly and manage with respect.
Base pay range of $200,000-$250,000 USD/CAD, depending on skills, qualifications, experience, and location. This role is based in the San Francisco Bay Area or Vancouver, BC, with hybrid expectations.
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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