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. Responsibilities and Duties We are seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs. Unlike traditional validation roles focused on executing test plans, this position is responsible for developing the diagnostic software and stress tools that expose hardware failures, characterize silicon behavior, and improve platform observability throughout bring-up and validation. You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware. Role Summary You will work with existing Arm-developed diagnostics technologies and extend them to support Graphcore's next-generation AI silicon. You will be responsible for developing system-level diagnostics and stress tools that integrate with an existing framework to detect data integrity, computational correctness, performance, and reliability issues across CPUs, AI accelerators, memory, storage, PCIe, firmware, BMC, and other platform components. Examples include silent data corruption (SDC) tests, power transient stress tools, and platform diagnostics, with opportunities to develop new diagnostics as future hardware capabilities evolve. This role requires close collaboration with hardware architects, firmware enginee
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Role overview
Job description
NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for.
What you'll be doing:
Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.
Study the applications and models running on Nvidia hardware and their architectural implications
Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.
Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.
Work with software, firmware, platform and multi-functional teams on system architecture.
Model, analyze, and explain the performance and power advantages of Nvidia solutions.
Guide customers and firmware engineers to extract the most performance from microarchitectural structures.
What we need to see:
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
8+ years of relevant industry experience.
Experience building high performance microarchitectural structures. Experience with industry standard bus protocols.
Clear understanding of the performance, power and security implications of microarchitectural features.
Strong interpersonal, communication and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth.
Excellent coding and algorithmic thinking skills. Good understanding of LLMs.
Publications or other evidence of original chip/system architecture work is a plus.
Join the future of chip building, you will contribute to innovative products with a dedicated team!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.What they are looking for
Skills & requirements
Qualification
What we need to see: Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience) 8+ years of relevant industry experience
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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