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- Tasks: Design scalable memory systems for GPUs and multi-core systems, focusing on cache coherency.
- Company: Join a cutting-edge tech company specializing in GPU system design and innovation.
- Benefits: Enjoy competitive pay, flexible work hours, and opportunities for professional growth.
- Why this job: Tackle exciting challenges in a dynamic environment while making a real impact in technology.
- Qualifications: Strong programming skills and experience with GPU systems and cache coherency protocols required.
- Other info: Ideal for tech enthusiasts eager to push the boundaries of system design.
The predicted salary is between 48000 - 84000 £ per year.
Memory Systems Architect – GPU System Design
Within this role you will encounter intriguing problems like crafting scalable memory systems to cater to the diverse needs of both small GPUs and giant multi-core systems.
This will be focusing on cache coherency, where your familiarity with cache coherency protocols will be instrumental in optimizing performance across shader cores and shared caches. Strong programming and coding skills is essential.
Demonstrative knowledge of GPU systems and prior working experience in this very field.
Key Words: GPU / Memory Systems / System Design / CPU / MMU / Cache coherency / Scalable memory systems / Address translation / HDL / Verilog / System Verilog / VHDL / multicore / shader cores
By applying to this role you understand that we may collect your personal data and store and process it on our systems.
Systems Architects employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Architects
✨Tip Number 1
Familiarize yourself with the latest advancements in GPU architecture and memory systems. This knowledge will not only help you understand the challenges we face but also allow you to discuss innovative solutions during your interview.
✨Tip Number 2
Brush up on cache coherency protocols and their impact on performance. Being able to articulate how these protocols work and how they can be optimized will set you apart from other candidates.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source projects related to GPU systems. This hands-on experience will demonstrate your coding abilities and passion for the field.
✨Tip Number 4
Network with professionals in the GPU and memory systems community. Attend relevant conferences or join online forums to connect with others in the industry, which could lead to valuable insights and potential referrals.
We think you need these skills to ace Systems Architects
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Memory Systems Architect. Familiarize yourself with key concepts like cache coherency, scalable memory systems, and GPU architecture to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize your demonstrative knowledge of GPU systems and any prior working experience in this field. Use specific examples that showcase your skills in system design and programming.
Use Technical Keywords: Incorporate relevant keywords from the job description such as 'cache coherency', 'HDL', 'Verilog', and 'multicore' throughout your application. This will help your application stand out and show that you are aligned with the technical requirements.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your passion for the role. Discuss how your skills can contribute to solving the intriguing problems mentioned in the job description.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with GPU systems and memory architecture in detail. Highlight specific projects where you implemented cache coherency protocols or optimized performance across shader cores.
✨Demonstrate Programming Skills
Expect coding challenges during the interview. Brush up on your programming skills, especially in HDL, Verilog, System Verilog, and VHDL. Practice writing clean, efficient code that addresses real-world problems.
✨Understand the Role of Scalability
Discuss how you approach designing scalable memory systems. Be ready to explain your thought process when dealing with both small GPUs and large multi-core systems, and provide examples from your past work.
✨Prepare for Problem-Solving Questions
You may face hypothetical scenarios related to cache coherency and address translation. Practice articulating your problem-solving strategies clearly and logically, demonstrating your ability to think critically under pressure.
