Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of innovative AI processors and software solutions.
- Company: Join a cutting-edge tech company at the forefront of AI evolution.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be a pioneer in AI technology, shaping the future with your expertise and vision.
- Qualifications: Experience in AI chip architecture and software-hardware co-design is essential.
- Other info: Ideal for strategic thinkers passionate about transforming research into real-world applications.
The predicted salary is between 43200 - 72000 £ per year.
As the Chief AI Processor Software & Hardware Co-design Architect, you will be at the helm of pioneering AI processors into a new era. Your role involves:
- Lead in AI 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 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: 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.
- 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 chip 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.
- 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.
Desirable Technical Background:
- NPU Chip architecture
- Software-Hardware co-design, workload analysis/slicing
- Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers.
- Track record of transforming academic research into commercial successes.
AI Processor Software/Hardware Engineer employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Processor Software/Hardware Engineer
✨Tip Number 1
Stay updated on the latest trends in AI technology and processor design. Follow industry leaders on social media, subscribe to relevant journals, and participate in online forums to engage with the community and gain insights that can set you apart.
✨Tip Number 2
Network with professionals in the AI field by attending conferences, workshops, and meetups. Building relationships with others in the industry can lead to valuable connections and potential job opportunities at StudySmarter.
✨Tip Number 3
Demonstrate your leadership skills by taking on projects that showcase your ability to guide teams and manage complex technical challenges. Highlight these experiences in conversations or interviews to show how you can contribute to our innovative environment.
✨Tip Number 4
Prepare to discuss specific examples of how you've solved technical problems in AI, particularly in areas like NLP or large-scale models. Being able to articulate your thought process and solutions will impress us during the selection process.
We think you need these skills to ace AI Processor Software/Hardware Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI chip architectures and software-hardware co-design. Use specific examples that demonstrate your strategic thinking and problem-solving skills, particularly in areas like Natural Language Processing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your vision aligns with the company's goals. Discuss your understanding of current AI trends and how you can contribute to pioneering new technologies.
Showcase Relevant Projects: Include details about past projects where you've successfully transformed academic research into commercial applications. Highlight your role in these projects and the impact they had on the industry.
Prepare for Technical Questions: Anticipate technical questions related to AI processor development and be ready to discuss your approach to solving complex problems. Demonstrating your mastery in this area will be crucial during the interview process.
How to prepare for a job interview at Microtech Global Ltd
✨Showcase Your Vision
As a candidate for this role, it's crucial to demonstrate your understanding of the future of AI applications and algorithms. Be prepared to discuss your insights on industry trends and how they can influence the development of AI processors.
✨Highlight Leadership Experience
Since the role involves guiding technical teams, share specific examples of how you've successfully led complex projects. Discuss your approach to lifecycle management and how you inspire teams to achieve project goals.
✨Demonstrate Technical Mastery
Be ready to dive deep into your technical expertise, especially in areas like NPU chip architecture and software-hardware co-design. Prepare to discuss past challenges you've faced in these domains and how you resolved them.
✨Connect Research to Real-World Applications
If you have a background in transforming academic research into commercial successes, make sure to highlight this. Discuss specific projects where your research has led to practical applications in AI, showcasing your ability to bridge theory and practice.
