
Chief AI System Software & Hardware Co-design Architect
Manningglobal · Cambridge, Cambridgeshire, United Kingdom
Mixed hiring record · median 48 days open
All reasons
- 39% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Manning Global, a premier global staffing and managed services provider, specializing in worldwide leading
Industry sectors such as ICT, AI, Technology, Digital Media, Engineering, Automotive and Energy, is recruiting for a
Chief AI System Software & Hardware Co-design Architect
on behalf of one of their top-tier international clients to join their organization in the
UK.
Job Title
Chief AI System Software & Hardware Co-design Architect
Employment
Full time
Start Date
ASAP
Country
Cambridge, UK - Office based
Salary range
Dependant upon experience
Contact
Zuni Gonzalez | +49 (0) 89 23 88 98 456
As the Chief AI System Software & Hardware Co-design Architect, you will be at the helm of pioneering the company’s AI system into a new era.
Key Responsibilities
- Shaping the Future of AI: Take charge of advancing the technical edge of Huawei’s AI processors. Delve into the core technologies driving NPU chips, setting the direction for innovations.
- Strategizing for Global Impact: Craft and steer comprehensive evolution strategies and roadmaps. Chart the course for Huawei’s dominance in the AI system domain.
- Integrate Cutting-Edge Technologies: Spearhead the integration of diverse AI sub-domains including memory hierarchy, interconnect topology, application algorithms, frameworks, runtime environments, modelling, simulation, SDK and compilers. Providing system-centric view, crafting a competitive end-to-end architectural landscape.
- Lead in AI Evolution: Stay ahead of the curve in AI industry and technology trends. The individual will be instrumental in developing key technical architectures for foundational AI software and hardware, addressing critical usability and performance challenges in comprehensive AI solutions.
- Guide and Inspire Technical Teams: Leading a team and orchestrate the lifecycle management of complex technical projects. The role extends beyond headquarters, identifying and leveraging global resources to enhance project outcomes. His/Her/Its leadership will be pivotal in shaping the overall architectural design and driving successful project execution.
Experience/Qualifications
- Understand emerging AI workloads, particularly the future direction of Agentic AI.
- Identify the performance challenges/bottlenecks these workloads will create.
- Translate those requirements into new ideas or improvements for hardware architecture.
- Have enough hardware depth to genuinely influence future hardware designs, rather than only optimising software for existing hardware.
- Work closely across software and hardware teams to develop and validate these ideas.
- Have a particularly strong understanding of CPU architecture while ideally also understanding how CPUs work alongside NPUs/GPUs/AI accelerators.
- Visionaries with rich experience in optimizing AI chip architectures and systems. Strategic thinkers familiar with AI industry applications and trends, and have comprehensive capabilities from applications to basic software to chips.
- Bring comprehensive knowledge of AI industry applications to the forefront. Be adept in navigating through the evolving landscape of mainstream AI models and algorithm trends. Able to discerning nuanced requirements for the chip layer, setting the foundation for innovative processor development.
- Technical Problem-Solving. Identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Able to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness.
- Pioneer in Strategic Development and Innovation. Assume a pivotal role in steering the planning and architectural design for cutting-edge chip technologies and foundational system software. Guide R&D team to successfully develop and implement sophisticated AI software and hardware systems, setting new standards in the industry.
Skills
- NLP
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