Staff Systems Engineer

Senior Systems Engineer

Graphcore

ABOUT US 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.   JOB SUMMARY We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.   THE TEAM The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.   RESPONSIBILITIES AND DUTIES * Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. * Support engineering bring-up activities, including component validation and firmware interaction testing. * Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. * Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. * Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. * Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. * Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. * Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. * Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. CANDIDATE PROFILE ESSENTIAL * Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. * 7 years experience with server hardware architectures and board-level debugging. * Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. * Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. * Strong collaboration skills and ability to work effectively in fast-paced engineering environments. * Excellent written and verbal communication skills. DESIRABLE * Experience supporting prototype or pre-production hardware bring-up. * Familiarity with data center facilities, including liquid cooling and power distribution systems. * Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. * Exposure to structured failure analysis and reliability engineering methodologies.   USA Benefits 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.

Staff Digital Twin Engineer

Graphcore

ABOUT US 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. JOB SUMMARY We are looking for a Staff Digital Twin Engineer to help design, build and evolve digital twin capabilities that support the development, validation and operation of advanced AI compute systems. Reporting to an Engineering Manager within the Digital Twin / Simulation Platform team, this role will lead significant technical work across simulation, 3D visualization, data integration and workflow automation, with a particular focus on the Omniverse platform, OpenUSD-based pipelines, data center operations, and rack and blade-level design and simulation workflows. THE TEAM The Digital Twin / Simulation Engineer works with internal Graphcore teams and Softbank Group affiliates. Team will be responsible for the design, development and integration of simulation and visualization capabilities that support data center digital twin, machine behavior modeling and interactive 3D experiences. This role combines simulation engineering, real-time visualization and 3D scene-building using NVIDIA Omniverse and modern tool chains. Team will build behavioral logic, physics integrations, and visualization layers that enable accurate, high-performance representation of data center components, job sites and workflows. RESPONSIBILITIES AND DUTIES * 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. CANDIDATE PROFILE ESSENTIAL * 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. DESIRABLE * 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. BENEFITS 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.

Staff Robotics Engineer

Graphcore

ABOUT US 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.   JOB SUMMARY Reporting to the Director of Automation, the Staff Robotics Engineer will provide technical leadership for the design, integration, validation, and deployment of robotic automation systems for data center operations. This role will work closely with internal Graphcore teams, SoftBank Robotics, SoftBank Group affiliates, and external technology partners to turn R&D concepts into scalable, production-ready robotic capabilities. Example systems may include robotic manipulation, material transport, inspection, rack/server handling, autonomous mobile robots, or other automation solutions for data center operations. This role is based in Austin and may require periodic travel to partner, manufacturing, lab, or deployment sites, including occasional collaboration across APAC time zones.   THE TEAM The automation team is responsible for helping the vision of Softbank Group to automate data center, working with internal Graphcore teams and Softbank Group affiliates. The team works closely with Softbank Robotics and its partners and other third parties to solve complex solutions for data center operations.  Our focus is on delivering robust, production-quality systems that bridge cutting-edge research and real-world deployment.   RESPONSIBILITIES AND DUTIES * This role is expected to operate with high autonomy, define technical direction for ambiguous robotics automation problems, influence partner roadmaps, and establish engineering standards for scalable deployment. * Align robotics, data center, internal engineering, SoftBank Group, and third-party partner teams to provide scalable autonomy capabilities. * Guide and mentor Softbank Group engineers and third-party partners without direct people management responsibilities, elevating technical judgment and Mechatronics best practices. * Contribute to technical planning, estimation and delivery of key project milestones. * Experience establishing or executing verification and validation processes, including simulation, hardware-in-the-loop testing, FAT/SAT, site validation, or field deployment. * Support troubleshooting and root-cause analysis across software, controls, mechanical, and electrical systems. * Iterate on end effectors, hardware interfaces, and robotic subsystems with partners. * Help build scalable software infrastructure, device management systems, and fleet coordination protocols by collaborating with Softbank Group affiliates and third-party partners. * Lead the transition of R&D feasibility studies into production-ready integrated systems. * Evaluate emerging technologies, tools and methodologies to improve robotics capabilities and engineering productivity. * Produce clear technical documentation and communicate engineering decisions effectively to a range of stakeholders. CANDIDATE PROFILE ESSENTIAL * 8+ years of experience in automation or equipment engineering, with a focus on mechatronic subsystems and modular machine design. * Experience taking robotic or automated systems from prototype/R&D into production or field deployment. * Experience with material handling systems, automated equipment, or productionized robotic solutions. * Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation). * Experience conducting FAT/SAT validation and managing technical deliverables with partners and manufacturers. * Proven ability to debug the "full-stack": PLC logic, high-level code (C# or Python), and complex mechanical/electrical hardware. * Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. * Strong understanding of robotics fundamentals including perception, localization, mapping, planning or control. * Ability to lead technical initiatives and influence engineering direction through expertise and collaboration. * Excellent problem-solving and analytical skills. * Strong communication skills with the ability to work effectively across multidisciplinary teams. * Degree in Mechatronics, Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Mathematics, or a related technical field, or equivalent practical experience. DESIRABLE * Experience applying machine learning or AI techniques within robotics systems. * Experience with simulation environments and digital twin technologies. * Knowledge of computer vision, sensor fusion or reinforcement learning techniques. * Experience deploying robotics applications to cloud, edge or embedded environments. * Familiarity with GPU acceleration, high-performance computing or AI infrastructure. * Experience contributing to open-source robotics projects or technical communities. * Experience working in research-intensive or advanced technology environments.   BENEFITS 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.