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- Tasks: Develop and optimise GPU architecture for AI, focusing on RTL design and hardware efficiency.
- Company: Join a pioneering client redefining GPU architecture for the AI era.
- Benefits: Enjoy a strong salary, enhanced pension, annual bonuses, private medical insurance, and flexible working options.
- Why this job: Shape future GPU designs with hands-on research in a collaborative, innovative environment.
- Qualifications: 5+ years in CPU/GPU hardware design, expertise in VHDL, SystemVerilog, and C++ required.
- Other info: Opportunity to see your ideas influence real products in a flat, self-directed team.
The predicted salary is between 43200 - 72000 £ 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 strong salary + benefits such as enhanced pension, annual bonuses (20% on average), private medical insurance, and flexibility around working from home.
Senior Research Engineer employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer
✨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 your interview 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 and ability to work in a self-directed environment. Share examples of how you've successfully collaborated with cross-functional teams, as this aligns with the company's flat structure and teamwork approach.
We think you need these skills to ace Senior Research Engineer
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 to demonstrate your expertise in VHDL, SystemVerilog, and C++.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for redefining GPU architecture for the AI era. Discuss your experience with performance modelling and how your hands-on research can contribute to the company's goals.
Showcase Relevant Projects: Include details about any relevant projects you've worked on that involved architectural changes or prototyping in compute-heavy components. Highlight your role and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves collaboration with hardware and software teams, emphasise your ability to work in a flat, self-directed environment. Provide examples of successful teamwork and how you’ve encouraged technical freedom in past roles.
How to prepare for a job interview at Avanti Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with CPU/GPU hardware design, particularly in RTL design and ALU optimisation. Highlight specific projects where you've successfully implemented these skills, as this will demonstrate your capability to contribute effectively to the team.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Prepare to explain how you approach problem-solving, especially in performance modelling using C++. Discuss any architectural changes you've explored and the trade-offs involved, showcasing your analytical thinking.
✨Emphasise Collaboration Experience
Since the role involves working closely with both hardware and software teams, share examples of past collaborations. Talk about how you’ve worked in a flat, self-directed environment and how you value technical freedom, as this aligns with the company culture.
✨Prepare Questions About Future Projects
Show your enthusiasm for the role by preparing insightful questions about the company's future GPU designs and research directions. This not only demonstrates your interest but also gives you a chance to assess if the company’s vision aligns with your career goals.
