At a Glance
- Tasks: Lead the development of next-gen mobile GPU architecture and define converged GPU/NPU architecture.
- Company: A leading technology company at the forefront of innovation.
- Benefits: Competitive salary, impactful role, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to pushing technological boundaries.
- Why this job: Make a significant impact on mobile computational performance in a cutting-edge environment.
- Qualifications: 15+ years in GPU or AI accelerator development with strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
A leading technology company is seeking an experienced GPU architect to lead the development of next-generation mobile GPU architecture. The role demands expertise in GPU microarchitecture and strong leadership capabilities.
Responsibilities include:
- Defining converged GPU/NPU architecture
- Ensuring timely delivery
Candidates should have over 15 years of experience in GPU or AI accelerator development and a solid understanding of performance modelling. This role offers an impactful position in optimizing mobile computational performance.
Mobile xPU Architect: GPU/NPU Convergence Lead in London employer: microTECH Global Limited
As a Software Engineer at our Cambridge location, you'll be part of a dynamic team dedicated to cutting-edge technology in RISC-V firmware and embedded systems. We pride ourselves on fostering a collaborative work culture that encourages innovation and continuous learning, offering ample opportunities for professional growth and development. With access to state-of-the-art resources and a commitment to employee well-being, we provide a rewarding environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Mobile xPU Architect: GPU/NPU Convergence Lead in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts and attend tech meetups or conferences. You never know who might be looking for someone with your skills in GPU architecture.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects in GPU or AI accelerator development. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on performance modelling and converged architectures. Be ready to discuss your vision for next-gen mobile GPU architecture and how you can lead a team to achieve it.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Mobile xPU Architect: GPU/NPU Convergence Lead in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 15+ years of experience in GPU or AI accelerator development. We want to see how your background aligns with the role, so don’t hold back on those impressive projects you've worked on!
Be Specific About Your Skills:When discussing your expertise in GPU microarchitecture and performance modelling, be as detailed as possible. We love specifics, so share examples that showcase your leadership capabilities and technical know-how.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the requirements of the Mobile xPU Architect role. We’re looking for candidates who understand the nuances of converged GPU/NPU architecture.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this impactful position in optimising mobile computational performance.
How to prepare for a job interview at microTECH Global Limited
✨Know Your GPUs Inside Out
Make sure you brush up on the latest trends and advancements in GPU microarchitecture. Be prepared to discuss your past projects in detail, especially those that showcase your expertise in GPU or AI accelerator development.
✨Showcase Leadership Skills
Since this role requires strong leadership capabilities, think of examples where you've successfully led a team or project. Be ready to explain how you motivate others and ensure timely delivery of complex tasks.
✨Understand Performance Modelling
Dive deep into performance modelling techniques relevant to mobile computational performance. Prepare to discuss how you've applied these techniques in previous roles and how they can be leveraged in the new position.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, challenges they face in GPU/NPU convergence, and how they envision the future of mobile GPU architecture. This shows your genuine interest and helps you assess if it's the right fit for you.
