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- Tasks: Develop and optimise RTL for cutting-edge GPU architecture focused on AI.
- Company: Join a pioneering client redefining GPU technology for the AI era.
- Benefits: Enjoy flexible working, enhanced pension, annual bonuses, and private medical insurance.
- Why this job: Shape the future of GPU designs with hands-on research in a collaborative environment.
- Qualifications: 5+ years in CPU/GPU hardware design, strong VHDL/SystemVerilog & C++ skills required.
- Other info: Experience technical freedom in a flat team structure, influencing real silicon products.
The predicted salary is between 48000 - 84000 £ per year.
We're working with a client that’s redefining GPU architecture for the AI era - and they’re hiring a Research Engineer to help drive it. In this role, you'll focus on developing and optimising RTL to improve GPU architecture, with a strong emphasis on reducing silicon area through efficient hardware design.
Skillset:
- 5+ years experience with CPU/GPU hardware design - with a focus on RTL design & ALU optimization
- Strong VHDL or SystemVerilog & C++
You’ll be exploring and prototyping architectural changes, particularly in compute-heavy components like matrix multipliers and floating-point units used for AI acceleration. The work involves performance modelling using C++ to evaluate design trade-offs, and you’ll play a key part in shaping future GPU designs through hands-on research and experimentation. While the position sits within the research team, the work has a clear path to implementation in real silicon, giving you the opportunity to see your ideas influence actual products. You’ll collaborate closely with engineers across the hardware and software teams in a flat, self-directed environment where technical freedom is encouraged.
On offer is a salary between £ depending on experience benefits such as enhanced pension, annual bonuses (20% on average), private medical insurance, and flexibility around working from home.
Senior Research Engineer (RTL Design) employer: Avanti
Contact Detail:
Avanti Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer (RTL Design)
✨Tip Number 1
Make sure to showcase your experience with CPU/GPU hardware design in your conversations. Highlight specific projects where you optimised RTL or worked on ALU optimisation, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest trends in GPU architecture and AI acceleration. Being able to discuss recent advancements or innovations during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Prepare to discuss your experience with performance modelling using C++. Be ready to explain how you've evaluated design trade-offs in past projects, as this is a key aspect of the role.
✨Tip Number 4
Emphasise your collaborative skills, especially in a flat, self-directed environment. Share examples of how you've successfully worked with cross-functional teams, as this will be crucial for the role at StudySmarter.
We think you need these skills to ace Senior Research Engineer (RTL Design)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in CPU/GPU hardware design, specifically focusing on RTL design and ALU optimisation. Use specific examples of projects you've worked on that relate to GPU architecture.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for redefining GPU architecture for the AI era. Mention your proficiency in VHDL, SystemVerilog, and C++, and how these skills will contribute to the role. Be sure to include any relevant experience with performance modelling and architectural changes.
Showcase Relevant Projects: If you have worked on projects involving matrix multipliers or floating-point units, be sure to detail these in your application. Highlight your hands-on research and experimentation, as well as any collaboration with hardware and software teams.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this one.
How to prepare for a job interview at Avanti
✨Showcase Your Technical Expertise
Make sure to highlight your experience with CPU/GPU hardware design, particularly in RTL design and ALU optimisation. Be prepared to discuss specific projects where you've successfully implemented these skills.
✨Demonstrate Problem-Solving Skills
Since the role involves exploring architectural changes, be ready to present examples of how you've tackled complex design challenges in the past. Discuss your approach to performance modelling using C++ and how you evaluate design trade-offs.
✨Emphasise Collaboration
This position requires close collaboration with both hardware and software teams. Share experiences that demonstrate your ability to work effectively in a team environment and how you've contributed to cross-functional projects.
✨Express Your Passion for Innovation
The client is looking for someone who can drive innovation in GPU architecture. Convey your enthusiasm for research and experimentation, and be prepared to discuss any personal projects or interests related to AI acceleration and hardware design.
