Staff Robotics 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.

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 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.

• →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.
  
  

• 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.
  
  

• 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.