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...