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The role involves writing code, participating in code reviews, maintaining CI systems, and developing low-level software for hardware integration.

As a Signal Integrity Engineer, you will manage high-speed PCB design, enhance digital interfaces, and validate structures for various advanced interfaces, transforming complex requirements into actionable design rules.

Develop power integrity solutions for AI compute systems, analyze power delivery networks, optimize decoupling strategies, and influence design improvements.

As a Research Scientist, you will design experiments, collaborate with engineers, and advance AI research focusing on embodied AI and world models.

As a research intern, you'll advance AI research by investigating machine learning topics, designing experiments, and implementing models and algorithms under mentorship.

The System Software Engineer will design, implement, test, and document OS Kernel and Device Driver software using C/C++/Python, collaborating closely with hardware engineers in an agile environment.

Develop and optimize machine learning models tailored for AI hardware, collaborate with cross-functional teams, and conduct experiments to improve efficiency.

The Signal Integrity Engineer will develop and simulate PCB structures to ensure high-speed SERDES and DDR interfaces perform correctly, collaborating with CAD engineers and defining material specifications for optimal performance.

Design and implement features, optimize software performance, manage code quality, conduct code reviews, and mentor team members in developing machine learning frameworks like Triton.

Lead verification planning, test generation, failure diagnosis, and functional coverage closure for Graphcore silicon. Provide architect feedback, contribute to shared verification infrastructure, and coordinate cross-site communication to deliver high-quality CPU/ASIC verification.