Staff Digital Twin Engineer

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists silicon designers software engineers and systems architects Graphcore enjoys a culture of continuous learning and constant innovation.

• This is a hands-on technical leadership role involving architecture implementation technical guidance and mentoring without direct line management responsibility.
• Apply MBSE methodologies to drive the development of systems and ensure traceability from requirements to implementation.
• Develop and deploy simulation logic and behavioral models governing machine and system behavior. Implement real‑time simulation algorithms including kinematics dynamics and control‑system interactions. This includes integration of physics engines (e.g. PhysX Omniverse Physics or equivalent) to support realistic behavior and machine–environment interactions.
• Develop and execute model validation and verification plans ensuring digital twins are accurate and numerically stable.
• Develop robust scene composition data modeling and asset management approaches for engineering digital twins across component blade rack and facility-level views.
• Create high-fidelity 3D models scenes and environments in Omniverse. Develop interfaces that connect simulations to real‑time visualization dashboards and operator‑focused experiences. Implement automated test pipelines and document model correlations limitations and validation scoring.
• Contribute to toolchain and pipeline design including scripting utilities automated test frameworks and modular code libraries. Collaborate across data engineering/architecture autonomy product groups and engineering to ensure interoperability and alignment with business needs.
• Evaluate and implement new simulation libraries and real‑time rendering technologies that enhance simulation fidelity and performance. Work hands‑on with multiple digital‑twin platforms such as: NVIDIA Omniverse (primary environment) CARLA Siemens NX/Teamcenter/Plant Simulation Dassault 3DEXPERIENCE Ansys Twin Builder Unity or similar.
• Integrate engineering and operational data from simulation test telemetry design systems asset inventories and infrastructure sources into coherent digital twin environments.
• Support testing debugging performance analysis and reliability improvements across digital twin applications and services.
• Establish engineering best practices for OpenUSD schemas Omniverse workflows version control documentation and release processes.
• Provide technical guidance code review and mentoring to engineers working with digital twin simulation and data integration technologies.
• Produce clear technical documentation and communicate progress risks and decisions to technical and non-technical stakeholders.
  

• Degree in Mechanical Electrical Systems Engineering Computer Science or related discipline.
• 8+ years of engineering experience in automation simulation or controls.
• Experience designing building or maintaining digital twin simulation 3D visualization or engineering platform software.
• Hands-on experience with the Omniverse platform including Omniverse Kit extensions connectors or related development workflows.
• Strong knowledge of OpenUSD / USD concepts including composition layering schemas assets and scene graph workflows.
• Experience working with data center operations infrastructure environments operational planning or systems used to manage complex technical facilities.
• Experience developing simulation or modeling workflows that support engineering decisions for complex hardware infrastructure or operational systems.
• Strong software engineering skills in Python C++ or both with experience building maintainable production-quality tools or services.
• Experience integrating complex engineering and operational data from multiple systems formats or APIs into usable software workflows.
• Understanding simulation real-time visualization physics-based modeling rendering pipelines or spatial computing concepts.
• Ability to lead complex technical tasks independently manage priorities and make sound engineering decisions with incomplete information.
• Strong collaboration and communication skills with the ability to work effectively across multiple engineering disciplines.
• Experience reviewing designs and code sharing technical knowledge and helping other engineers adopt new tools and practices.
  

• Experience applying digital twin technologies in data center high-performance computing semiconductor robotics manufacturing or complex systems environments.
• Experience with rack and blade design concepts including physical layout serviceability power cooling cabling networking or mechanical constraints.
• Experience modeling thermal power airflow mechanical cabling networking or serviceability characteristics for rack-scale or facility-scale systems.
• Experience with synthetic data generation sensor simulation telemetry visualization or operational monitoring workflows.
• Knowledge of containerized deployment cloud or on-premises infrastructure CI/CD and automated testing for engineering tools.
• Experience with 3D asset pipelines materials lighting rendering physics simulation or model optimization.
• Familiarity with adjacent platforms or technologies such as Unreal Engine Unity Blender ROS CAD/CAE tools DCIM tools or PLM systems.
• Understanding of AI machine learning accelerated computing or large-scale system architecture concepts.
• Experience developing user-facing tools for engineering or operations teams including workflow design usability improvements and technical enablement.
  

In addition to a competitive salary Graphcore offers flexible working and a comprehensive benefits package designed to support your health wellbeing and financial future. Our benefits include medical dental and vision coverage Flexible Spending Accounts (FSAs) Health Savings Accounts (HSAs) disability and life insurance a 401(k) retirement plan commuter benefits wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

What We Do

At Graphcore we’re building the future of AI compute. We’re a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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