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 an experienced AI HW Systems Engineering and Debug Lead to drive system-level debug and bring-up activities for Graphcore’s next-generation AI data center platforms.
The successful candidate will lead complex debug efforts across hardware, firmware, and software layers for blade and rack-level systems. This role focuses on developing scalable debug strategies, improving debug throughput, and ensuring timely resolution of system-level issues throughout the product lifecycle.
The Team
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption
The Systems Engineering and Validation team ensures Graphcore’s AI compute platforms are fully validated, debugged, and ready for deployment in hyperscale data center environments.
The team collaborates closely with silicon engineering, system architecture, firmware, operating system, and rack integration teams to identify and resolve system-level issues and drive improvements in validation and debug methodologies.
Responsibilities and Duties
- Own and develop AI systems debug methodology and system bring-up strategies for next-generation AI data center platforms.
- Lead system-level debug and root cause analysis for issues identified during server rack validation, post-silicon validation, and production phases.
- Drive complex debug efforts across silicon, hardware platforms, firmware, operating systems, and software stacks.
- Manage and track technical issues, risks, and priorities to ensure program milestones are achieved.
- Publish debug program indicators and metrics to identify roadblocks and improve debug throughput.
- Coordinate cross-functional teams including system architecture, silicon, firmware, and validation teams to resolve system-level issues.
- Lead development and integration of debug tools, scripts, and methodologies to improve debug efficiency.
- Communicate program status, risks, and technical findings to engineering leadership and stakeholders.
Candidate Profile
Essential
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related discipline.
- 15+ years of experience working on complex systems engineering challenges involving HW/FW/SW debug in server or data center environments.
- Proven experience leading validation and debug for board, blade, and rack-level hardware platforms.
- Strong experience debugging OS, firmware, silicon, and hardware issues.
- Understanding of industry-standard system buses such as PCIe and CXL and their software stacks.
- Strong knowledge of ARM or x86 CPU architectures, SoC design, memory systems, and power management.
- Experience with system architecture, validation strategies, and complex system debug methodologies.
- Strong collaboration, communication, and cross-team coordination skills.
Desirable
- Experience designing or deploying AI/ML rack-scale systems.
- Experience developing at-scale debug methodologies for hyperscale data center systems.
- Familiarity with data center infrastructure and emerging AI hardware technologies.
- Experience with rack integration testing and hyperscale deployment readiness.
- Knowledge of automated validation frameworks, test analytics, and continuous validation practices.
Top Skills
What the Team is Saying
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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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
