Senior FPGA Engineer – AI & Neural Network Acceleration
Salary: £100,000+ DOE + Benefits
Location: Hybrid Working (Friday Work From Home)
Type: Permanent, Full-Time
Are you passionate about pushing the boundaries of artificial intelligence hardware?
Our client is developing next-generation neural network acceleration technology and is seeking an exceptional FPGA Engineer to join a highly talented team working at the cutting edge of AI compute architectures. This is an opportunity to play a key role in designing high-performance FPGA solutions that will power advanced machine learning and neural network applications.
The Role
You will be responsible for the design, implementation, optimisation and verification of FPGA-based systems focused on AI inference and neural network acceleration. Working alongside hardware, software and algorithm specialists, you will contribute to the development of innovative architectures that deliver industry-leading performance and efficiency.
Key Responsibilities
* FPGA design and development using VHDL and/or Verilog/SystemVerilog
* Implementation of neural network and machine learning acceleration architectures
* RTL design, simulation, synthesis and timing closure
* Performance optimisation of high-speed digital systems
* Integration of high-bandwidth interfaces such as PCIe, DDR, Ethernet and SerDes
* Verification and validation of FPGA designs
* Collaboration with software and AI teams to optimise hardware/software performance
* Contributing to architectural decisions for future AI hardware platforms
Required Skills & Experience
* Strong commercial experience in FPGA development
* Expert knowledge of VHDL, Verilog or SystemVerilog
* Experience with Xilinx AMD and/or Intel FPGA toolchains
* Strong understanding of digital signal processing and computer architecture
* Experience with RTL simulation, verification and debugging tools
* Knowledge of high-speed interfaces and memory architectures
* Understanding of timing analysis and FPGA optimisation techniques
* Degree in Electronic Engineering, Computer Engineering, Physics or related discipline
Highly Desirable
* Experience implementing neural networks or AI acceleration on FPGA platforms
* Knowledge of machine learning frameworks and AI workloads
* Experience with High-Level Synthesis (HLS)
* Exposure to ASIC development flows
* Python, C/C++ or embedded software development experience
* Experience with data centre, edge AI or high-performance computing applications
Whats on Offer?
* Salary north of £100,000 per annum
* Hybrid working with Fridays from home
* Opportunity to work on genuinely cutting-edge AI technology
* Exposure to complex, technically challenging projects
* Collaborative team of world-class engineers and researchers
* Excellent career progression opportunities
* Competitive benefits package
If you are an FPGA engineer looking to apply your expertise to the future of neural network acceleration and advanced AI hardware, wed love to hear from you.