GPU Hardware Datapath Design Engineer

Imagination Technologies Limited; Kings Langley; On-site; GBP 60,000 - 90,000; Full time

Job summary

Imagination Technologies Limited in Kings Langley is seeking an engineer to join the GPU Datapath team, a unique applied research group delivering high‑performing arithmetic hardware for the XE series GPUs and beyond.

You will design and evaluate hardware architectures for math-intensive blocks, translate requirements into datapath designs, and contribute to cutting-edge GPU products while learning industry tools with full training.

Qualifications

• Programming experience with SystemVerilog, VHDL, C++, Python, Tcl or shell.
• Ability to imagine and implement improvements to a broad range of processes.
• Ability to communicate complex technical information clearly, both verbally and in writing.
• Critical thinking with the ability to think abstractly and concretely.
• Tenacity and collaborative mindset to drive tasks to completion.

Responsibilities

• Design and evaluate hardware architectures for math-intensive blocks.
• Research new techniques for implementing mathematical operations in silicon.
• Produce patentable work in a research environment.
• Plan and schedule your own work and educate other team members on datapath designs.
• Contribute to development of XE GPUs and other products.

Skills

SystemVerilog

VHDL

C++

Python

Tcl

Shell

Tools

ASIC tools

FPGA tools

P&R

Job description

GPU Hardware Datapath Design Engineer

Job no: 502857

Work type: Early Career, Experienced Professional

Location: Kings Langley UK

Categories: Graphics

The role

Working in the GPU Datapath team, a unique applied research team with a remit both to research and to deliver high performing hardware, you will be a vital part of the development of innovative mathematical components. You will be able to contribute to the development of our XE series of GPUs and others. No prior knowledge of digital hardware is required. Full training will be provided on both industry tools and cutting-edge techniques developed in-house, and you will be creating your own original ideas to push out the boundary of what can be achieved.

You will:

• Work with a team of mathematically focused engineers to design optimal arithmetic hardware components.
• Have the unique chance to contribute to cutting-edge GPU products.
• Understand, crystallise and extract the requirements for arithmetic hardware blocks with engineers throughout Imagination.
• Design and evaluate a variety of hardware architectures for implementing math intensive blocks.
• Research new techniques for implementing a vast range of mathematical operations in silicon.
• Produce patentable work in a research and invention focused environment.
• Plan and schedule your own work, whilst educating other members of the company on datapath designs.

About you

Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard.

You'll have:

• Programming experience, especially with SystemVerilog, VHDL, C(++), Python, Tcl or shell.
• The ability to imagine and implement improvements to a whole range of processes.
• The ability to communicate complex technical information concisely and unambiguously both verbally and in writing.
• A critical mind with the ability to think both abstractly and concretely.
• Tenacity and the ability to work and communicate with others to get things done.

You might also have:

• Knowledge of CPU, DSP, or FPU architectures and debugging/testing strategies.
• Hands-on experience with ASIC, FPGA, and physical design tools (P&R).
• Experience with computer assisted proof via industry tools or automated theorem provers.
• Experience with scientific computing and numerical libraries.
• Knowledge of floating point arithmetic and implementation.
• Experience with optimising arithmetic hardware.
• Experience in GPU/CPU design and associated methodologies such as UVM.
• Strong communication skills, both written and spoken, in English.
• Experience writing your own rigorous mathematical proofs.

Who we are

Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces.

We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before.

So come join us if you're wanting that something more

Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions.

As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology.

Additional information

If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email [e-mail] .

Working in the GPU Datapath team, a unique applied research team with a remit both to research and to deliver high performing hardware, you will be a vital part of the development of innovative mathematical components. You will be able to contribute to the development of our XE series of GPUs and others. No prior knowledge of digital hardware is required. Full training will be provided on both industry tools and cutting-edge techniques developed in-house, and you will be creating your own original ideas to push out the boundary of what can be achieved.

Working in the GPU Datapath team, a unique applied research team with a remit both to research and to deliver high performing hardware, you will be a vital part of the development of innovative mathematical components. You will be able to contribute to the development of our XE series of GPUs and others. No prior knowledge of digital hardware is required. Full training will be provided on both industry tools and cutting-edge techniques developed in-house, and you will be creating your own original ideas to push out the boundary of what can be achieved.