Graduate Engineer, System Validation

We are seeking a graduate engineer to help drive server blade and rack level system validation efforts for next-generation AI infrastructure hardware systems. This role focuses on post-silicon system validation across the full lifecycle of server hardware systems, ensuring functional and performance meets product objectives. You will help drive end-to-end blade and rack validation including development, execution, and debug while collaborating across silicon, firmware, systems, and platform teams.

The Blade and Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms.

What You’ll Do

• Help drive and execute post-silicon validation goals of AI compute blades and racks including test case planning, development, and automation

• Help drive validation test case execution and system debug against program achievements and report validation progress and risks.

• Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness
• Triage test failures, collect debug data, and collaborate on root cause analysis.
• Track validation coverage and continuously improve test processes and infrastructure.

• Working towards a Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering or related field with line of sight to graduation.
• Passion to learn and gain experience in large-scale server or AI infrastructure hardware validation environments.
• Exposure on hardware validation or debug based of x86 or ARM architecture-based server systems, rack, or embedded validation.
• Understanding of key concepts related CPU/GPU, memory, IO, and BIOS testing.
• Experience with Linux/server OS and automation using Python/Bash.
• Experience with CI/CD pipelines and large-scale test automation infrastructures.
• Working in lab environments., * Knowledge of concepts of BMC, IPMI, Redfish.
• Familiarity with OpenBMC and processes for verifying firmware functionality.
• Experience with test and asset management tools.

Graphcore offers competitive compensation and programs designed to support interns’ well-being, flexibility, learning, and connection. Depending on internship duration, scheduled hours, work location, and plan eligibility, benefits and programs for U.S. interns may include:

• Access to eligible health and well-being programs.
• Paid company holidays and other paid time away, where applicable.
• Flexible working hours consistent with team and internship requirements.
• Learning and professional-development opportunities, including mentorship and online resources.
• Office amenities and team-led social, community, and well-being activities.

About Graphcore

Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.

As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing.