Chief AI System & Hardware Co-design Architect

Manning Global AG; Cambridge; Sur place; GBP 180 000 - 240 000; Plein temps

Résumé du poste

Manning Global AG is seeking a transformative Chief AI System Software & Hardware Co-design Architect for its UK-based client in Cambridge. This executive role guides strategic development of AI processors and foundational architectures across software and hardware domains.

You will lead cross-domain teams, shaping the end-to-end architecture for cutting-edge AI systems, addressing NLP and large-scale model challenges, and driving global collaboration with R&D and partners.

Qualifications

• Understand emerging AI workloads, particularly the future direction of Agentic AI.
• Identify performance challenges/bottlenecks these workloads will create.
• Translate requirements into hardware architecture improvements.
• Have depth to influence future hardware designs, not just optimize software.
• Work across software and hardware teams to validate ideas.
• Strong understanding of CPU architecture with knowledge of CPUs + NPUs/GPUs.
• Strategic thinkers with experience across applications to chips.
• Knowledge of AI industry applications and models.

Responsabilités

• Shaping the future of Huawei’s AI processors and core technologies driving NPUs.
• Develop and steer evolution strategies and roadmaps for AI systems.
• Integrate AI sub-domains including memory, interconnects, frameworks, runtimes, modelling and compilers.
• Lead in AI evolution and address usability and performance in comprehensive AI solutions.
• Guide and inspire global teams and manage complex projects and vendors.

Connaissances

CPU architecture

AI hardware

AI software

Chip design

System architecture

Team leadership

Cross-functional collaboration

Strategy

Description du poste

Manning Global AG is seeking a transformative Chief AI System Software & Hardware Co-design Architect for its UK-based client in Cambridge. This executive role guides strategic development of AI processors and foundational architectures across software and hardware domains.

You will lead cross-domain teams, shaping the end-to-end architecture for cutting-edge AI systems, addressing NLP and large-scale model challenges, and driving global collaboration with R&D and partners.