Chief AI Architect

Chief AI Architect

Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and optimisation of AI systems, integrating hardware and software innovations.
  • Company: Join a pioneering innovator in the Semiconductor ecosystem, shaping the future of AI technology.
  • Benefits: Enjoy competitive perks, flexible work options, and the chance to work on groundbreaking projects.
  • Why this job: Be at the forefront of AI evolution, influencing global strategies and inspiring technical teams.
  • Qualifications: Seeking visionaries with experience in AI chip architecture and strategic development.
  • Other info: Contact Em Feely for more details at em@microtech-global.com.

The predicted salary is between 72000 - 108000 £ per year.

A true innovator in the Semiconductor ecosystem is searching for a Chief AI Architect, to bring their expertise, vision and ideas, leading the way in HW & SW optimization for Training & Inference.

Your Role

As the Chief AI System Software & Hardware Co-design Architect, you will be at the helm of pioneering this AI system into a new era. Your role involves:

  • Shaping the Future of AI: You will be the key technical leader, taking a deep-dive into the core technologies driving NPU chips, setting the direction for ground-breaking innovations.

  • Strategizing: Craft and steer comprehensive evolution strategies and Global roadmaps. Your vision will 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. Your expertise will be crucial in synthesizing these elements from a system-centric view, crafting a competitive end-to-end architectural landscape.
  • Evolution: Stay ahead of the curve in AI industry and technology trends. Your role involves deeply understanding and predicting the future of AI applications and algorithms. You\’ll 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: As a leader, you will orchestrate the lifecycle management of complex technical projects. Your role extends beyond our headquarters, identifying and leveraging global resources to enhance project outcomes. Your leadership will be pivotal in shaping the overall architectural design and driving successful project execution.

We Seek:

  • 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 your comprehensive knowledge of AI industry applications to the forefront. Be adept in navigating through the evolving landscape of mainstream AI models and algorithm trends. Your expertise will be invaluable in discerning nuanced requirements for the HW & SW layer, setting the foundation for innovative processor development.

  • Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability 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. Your leadership will be essential in guiding our R&D team to successfully develop and implement sophisticated AI software and hardware systems, setting new standards in the industry

  • Experience in enhancing software usability.

  • Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers.

For further details please reach out to Em Feely; em@microtech-global.com

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Chief AI Architect employer: microTECH Global Limited

As a leading innovator in the Semiconductor ecosystem, our company offers an exceptional work environment for the Chief AI Architect role, fostering a culture of creativity and collaboration. Employees benefit from cutting-edge projects, opportunities for professional growth, and the chance to shape the future of AI technology. Located in a vibrant tech hub, we provide access to a network of industry leaders and resources that enhance both personal and career development.
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Contact Detail:

microTECH Global Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Chief AI Architect

✨Tip Number 1

Network with professionals in the semiconductor and AI industries. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and industry leaders who can provide insights and possibly refer you to opportunities.

✨Tip Number 2

Stay updated on the latest trends and advancements in AI and semiconductor technologies. Follow key publications, blogs, and thought leaders in the field to ensure you can speak knowledgeably about current innovations during interviews.

✨Tip Number 3

Demonstrate your leadership skills by sharing examples of past projects where you successfully guided teams through complex technical challenges. Highlight your ability to inspire and manage diverse groups to achieve common goals.

✨Tip Number 4

Prepare to discuss your vision for the future of AI systems and how you would approach the integration of hardware and software. Articulate your strategic thinking and problem-solving abilities, especially in relation to optimising AI chip architectures.

We think you need these skills to ace Chief AI Architect

Expertise in AI Chip Architectures
Knowledge of NPU Technologies
Strategic Planning and Roadmapping
Integration of AI Sub-Domains
System-Centric Architectural Design
Understanding of Memory Hierarchy and Interconnect Topology
Proficiency in Application Algorithms and Frameworks
Experience with Runtime Environments and SDKs
Modelling and Simulation Skills
Technical Problem-Solving in AI
Familiarity with Natural Language Processing (NLP)
Leadership in Technical Project Management
Ability to Guide and Inspire Technical Teams
Awareness of AI Industry Trends and Applications
Enhancing Software Usability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI chip architectures and systems. Focus on specific projects where you've optimised hardware and software, and include metrics to demonstrate your impact.

Craft a Compelling Cover Letter: In your cover letter, express your vision for the future of AI and how your expertise aligns with the company's goals. Discuss your strategic thinking and problem-solving skills, particularly in relation to AI applications and trends.

Showcase Technical Mastery: Provide examples of your proficiency in addressing critical bottlenecks in AI, especially in areas like Natural Language Processing. Highlight any innovative solutions you've implemented in previous roles.

Demonstrate Leadership Experience: Illustrate your experience in guiding technical teams and managing complex projects. Share specific instances where your leadership has led to successful project outcomes, emphasising your ability to inspire and motivate others.

How to prepare for a job interview at microTECH Global Limited

✨Showcase Your Vision

As a Chief AI Architect, it's crucial to demonstrate your vision for the future of AI. Prepare to discuss innovative ideas and how you plan to lead the evolution of AI technologies, particularly in relation to NPU chips and system optimisation.

✨Demonstrate Technical Mastery

Be ready to dive deep into technical discussions. Highlight your experience with AI chip architectures, software usability, and problem-solving in complex domains like NLP. Use specific examples to illustrate your expertise and how you've tackled critical challenges.

✨Strategic Thinking is Key

Prepare to articulate your strategic approach to AI development. Discuss how you would craft comprehensive evolution strategies and global roadmaps, ensuring that your vision aligns with the company's goals and market trends.

✨Leadership and Team Dynamics

As a leader, your ability to guide and inspire technical teams is vital. Share experiences where you've successfully managed complex projects and collaborated with global resources, showcasing your leadership style and its impact on project outcomes.

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