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Metaverse Developer Jobs in Ontario (NOW HIRING)

... engineers, scientists, digital innovators, program and construction managers and other ... Champion the use of the Metaverse for immersive stakeholder engagement, virtual collaboration, and ...

Metaverse Developer information

What is a Metaverse Developer?

A Metaverse Developer is a technology professional who designs, builds, and maintains virtual environments and experiences in the metaverse—a collective virtual space that merges physical and digital realities. Their work typically involves using programming languages, 3D modeling tools, and immersive technologies like virtual reality (VR) and augmented reality (AR). Metaverse Developers create interactive worlds, digital assets, avatars, and facilitate the integration of blockchain or Web3 elements. They collaborate with designers, game developers, and other tech experts to deliver engaging and scalable metaverse experiences.

How does a Metaverse Developer typically collaborate with other specialists in a project team?

Metaverse Developers work closely with a multidisciplinary team, including 3D artists, UX/UI designers, backend engineers, and project managers. They often participate in agile sprints, where they integrate immersive features, ensure compatibility with virtual platforms, and address real-time feedback from stakeholders. Effective communication and collaboration are key, as developers must translate creative concepts into technical solutions while coordinating closely with both creative and technical team members. This collaborative approach helps create cohesive, interactive virtual experiences within the metaverse.

What are the key skills and qualifications needed to thrive as a Metaverse Developer, and why are they important?

To thrive as a Metaverse Developer, you need strong programming skills (such as C#, C++, or JavaScript), 3D modeling experience, and a background in computer science or related fields. Familiarity with tools like Unity, Unreal Engine, VR/AR SDKs, and blockchain platforms is typically required, along with certifications in XR or game development being advantageous. Creativity, adaptability, collaboration, and effective communication are crucial soft skills for bringing immersive digital experiences to life. These skills and qualities are essential for building engaging, interactive environments that meet technical standards and user expectations in the fast-evolving metaverse space.

What is the difference between Metaverse Developer vs 3D Game Developer?

AspectMetaverse Developer3D Game Developer
Required CredentialsBachelor's in Computer Science, VR/AR certificationsBachelor's in Computer Graphics, Game Design certifications
Work EnvironmentVirtual worlds, VR/AR platforms, collaborative environmentsGame studios, entertainment companies, independent projects
Industry UsageMetaverse platforms, social VR, virtual commerceVideo game industry, entertainment, mobile/console gaming
Common Search/ComparisonYesYes

Metaverse Developers focus on creating immersive virtual environments for social, commercial, and collaborative purposes within the metaverse platforms. 3D Game Developers primarily design and develop interactive video games for various platforms. While both roles involve 3D modeling and programming, Metaverse Developers emphasize social and virtual experience integration, whereas 3D Game Developers concentrate on gameplay mechanics and entertainment.

What job categories do people searching Metaverse Developer jobs in Ontario look for? The top searched job categories for Metaverse Developer jobs in Ontario are:
What cities in Ontario are hiring for Metaverse Developer jobs? Cities in Ontario with the most Metaverse Developer job openings:
Infographic showing various Metaverse Developer job openings in Ontario as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Researcher - GPU Applications Architecture

Huawei Technologies Canada Co., Ltd.

Markham, ON • On-site

$80 - $100/hr

Other

Re-posted 12 days ago


Job description

Huawei Canada has an immediate permanentopening for an Senior Researcher. About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:
  • Conduct in-depth analysis of physical AI, 3DGS, unmanned driving, and embodied AI application and technological trends, thoroughly analyzing key requirements for GPU computing architecture. Plan the environmental simulation and rendering platform based on self-developed GPU architecture, and provide development, training, and simulation capabilities for emerging applications.

  • Conduct in-depth analysis of GPU cluster system. Define hardware architecture, system framework, and software architecture. Implement large-scale cluster intelligent solutions. Support the development and simulation of emerging applications such as physical AI, 3DGS, unmanned driving, embodied AI, and cloud rendering, and ensure the industry-leading capability in environmental simulation and rendering.

  • Continuously drive technological competitive edge in space intelligence and propel the development of self-developed GPU technology ecosystem.

About the ideal candidate:
  • In-depth knowledge about emerging AI&GPU applications, such as physical AI, embodied AI, 3DGS, World Models, etc. Experience in developing large-scale projects such as autopilot simulation and robot simulation is an asset.

  • In-depth knowledge about AI-enhanced rendering technologies/algorithms, such as DLSS and Neural Rendering. Experience with rendering engines (UE and Unity) is an asset.

  • Familiarity with AI chip architecture, computer architecture and operating system, and distributed reasoning & training framework. Proven experience in designing system architectures.

  • Proficiency in GPU architecture and programming models, GPU programming languages including CUDA, OpenCL, and Vulkan, and APIs.

  • Expertise in GPU performance profiling and tuning. Ability to develop and utilize tools for thorough analysis and performance enhancement.

  • Strong teamwork and communication skills, enabling effective collaboration with team members to successfully execute projects.

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