At a Glance
- Tasks: Design and optimise FPGA systems for AI and neural network acceleration.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Earn over £100,000, enjoy hybrid working, and access great career growth.
- Other info: Collaborate with top engineers on complex, cutting-edge AI challenges.
- Why this job: Be part of groundbreaking projects that shape the future of AI technology.
- Qualifications: Expertise in FPGA development and strong knowledge of VHDL or Verilog required.
The predicted salary is between 100000 - 100000 £ per year.
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
What's 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, we'd love to hear from you.
Principal FPGA Engineer employer: X4 Technology
Join a pioneering company at the forefront of AI technology, where you will collaborate with a team of world-class engineers and researchers on cutting-edge projects that push the boundaries of neural network acceleration. Enjoy a hybrid working model with Fridays off from home, competitive salary starting at £100,000, and excellent career progression opportunities in a supportive and innovative work culture that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal FPGA Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. You never know who might be looking for someone with your FPGA skills.
✨Show Off Your Projects
Have you worked on any cool FPGA projects? Make sure to showcase them! Whether it's on LinkedIn or a personal website, let potential employers see what you're capable of.
✨Ace the Interview
Prepare for technical interviews by brushing up on your VHDL and Verilog knowledge. Be ready to discuss your past projects and how you've tackled challenges in FPGA design.
✨Apply Through Us
Don't forget to apply through our website! We’re always on the lookout for talented engineers like you, and applying directly can give you a better chance to stand out.
We think you need these skills to ace Principal FPGA Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with FPGA development and AI acceleration. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise in VHDL, Verilog, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI hardware and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear connection to the role.
Showcase Relevant Projects:If you've worked on any projects related to neural networks or high-speed digital systems, make sure to mention them. We’re keen to see real-world applications of your skills, so include details about your contributions and outcomes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at X4 Technology
✨Know Your FPGA Inside Out
Make sure you brush up on your knowledge of VHDL, Verilog, and SystemVerilog. Be ready to discuss your past projects in detail, especially those involving neural networks or AI acceleration. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach performance optimisation or timing closure issues. Demonstrating your analytical thinking will impress the interviewers.
✨Familiarise Yourself with the Company’s Tech
Research the specific FPGA toolchains used by the company, whether it’s Xilinx AMD or Intel. Understanding their technology stack will help you speak their language and show that you’re genuinely interested in their work.
✨Collaborate and Communicate
Since the role involves working with hardware, software, and algorithm specialists, be prepared to discuss how you’ve collaborated in the past. Highlight your communication skills and how you can bridge the gap between different teams to optimise hardware/software performance.
