Nvidia Omniverse Developer
Job in
Cambridge, Ontario, Canada
Listed on 2026-09-06
Listing for:
Eclipse Automation Inc.
Full Time
position Listed on 2026-09-06
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Robotics, Python, Software Engineer
Job Description & How to Apply Below
Nvidia Omniverse Developer
Location:
Cambridge, ON | On-site
Job Type: Full-Time
Compensation: $95,000 - $130,000
Benefits: RRSP, health/dental/vision package, reimbursement for tuition and professional dues, paid vacation, personal days, and sick days
Get to Know Us:
Eclipse Automation delivers cutting-edge custom automated manufacturing solutions across multiple industries. We combine advanced automation expertise with digital innovation to create smart, efficient, and sustainable manufacturing systems. Our global network includes facilities in Canada, the United States and Hungary ensuring regional expertise and global strength.
Why This Role Exists
Eclipse Automation is building a new digital engineering backbone for custom automation, centered on NVIDIA Omniverse, OpenUSD, simulation, virtual commissioning, industrial data connectivity, and immersive engineering workflows.
This role exists to add a dedicated Omniverse developer who can help turn that backbone into practical software used by engineering, project management, electrical, controls, applications, commissioning, and customer-facing teams that help Eclipse design, validate, and deliver complex automation systems faster.
We are looking for someone with real Omniverse experience who can contribute immediately, bring strong technical judgment, and help raise the team's capability as the platform grows.
The Position
The Senior NVIDIA Omniverse Developer will work under the Omniverse lead developer to design, build, test, and scale Omniverse-based tools for industrial automation. This person will be hands‑on across Python, C++, OpenUSD, Omniverse Kit, Isaac Sim, simulation workflows, integration APIs, and user‑facing tools.
The ideal candidate has already built with Omniverse or comparable real‑time 3D, simulation, robotics, or digital twin platforms. They understand how to move from prototype to maintainable software, how to connect 3D environments to real engineering data, and how to make complex technical capabilities usable by non‑specialist engineering teams.
What You’ll Be Doing:
Build Omniverse Kit applications and extensions - develop production‑quality tools, extensions, panels, services, and workflows using NVIDIA Omniverse Kit, Python, C++, OpenUSD, and related SDKs.
Advance Eclipse's OpenUSD foundation - help define, implement, and maintain USD structures, schemas, asset conventions, metadata patterns, and scene composition workflows for custom automation systems.
Develop engineering data connectors - connect Omniverse workflows to PDM, engineering software & custom tools, industrial robot software, and internal Eclipse systems where appropriate.
Support simulation and virtual commissioning - build tools and workflows that drive machine behavior from PLC logix/Robot programs to enable the paralellization of controls efforts.
Create industrial automation digital twins - translate equipment, cells, tooling, sensors, motion devices, robots, conveyors, grippers, and system layouts into usable Omniverse‑based digital representations.
Build UI / UX for engineering users - create practical interfaces that make advanced Omniverse capabilities accessible to controls, robotics, mechanical design, applications, project, and shop floor teams.
Enable XR and immersive workflows - support use cases for spatial review, operator training, remote collaboration, design validation, customer experience, and future XR‑enabled engineering workflows.
Integrate robotics and automation technologies - work with robot platforms, PLC concepts, industrial protocols, offline programming tools, physics simulation, and automation data where needed.
Create reusable patterns and libraries - build components, schemas, templates, APIs, and examples that prevent one‑off custom work and help the platform scale across projects.
Prototype, validate, and harden new capabilities - evaluate NVIDIA tools, APIs, workflows, and technical options, then turn promising prototypes into maintainable internal products.
Collaborate across disciplines - work with sales & applications, software, controls, electrical & mechanical design, project teams, and leadership to turn…
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