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 challenges.
- Why this job: Be part of groundbreaking projects that shape the future of AI technology.
- Qualifications: Strong FPGA development skills and knowledge of VHDL or Verilog required.
The predicted salary is between 100000 - 120000 £ per year.
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
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 in Portsmouth 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. Enjoy a competitive salary exceeding £100,000, hybrid working arrangements, and excellent career progression opportunities in a culture that values innovation and collaboration. This role not only offers the chance to work on technically challenging FPGA solutions but also provides a supportive environment for personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Principal FPGA Engineer in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your FPGA projects, especially those related to AI and neural networks. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with VHDL, Verilog, and any relevant FPGA toolchains. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your experience with AI acceleration and FPGA development to stand out from the crowd.
We think you need these skills to ace Principal FPGA Engineer in Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with FPGA development and AI technologies. 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 and neural network acceleration. We love seeing candidates who can connect their personal interests with our mission at StudySmarter.
Showcase Relevant Projects:If you've worked on any projects related to machine learning or high-speed digital systems, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, especially if they relate to FPGA design.
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. Don’t wait too long, as we expect a lot of interest!
How to prepare for a job interview at X4 Technology
✨Know Your FPGA Stuff
Make sure you brush up on your VHDL, Verilog, and SystemVerilog knowledge. Be ready to discuss specific projects where you've implemented these languages, especially in relation to AI and neural network acceleration. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in FPGA design and how you overcame them. Think of instances where you optimised performance or integrated high-bandwidth interfaces like PCIe or DDR. This will demonstrate your hands-on experience and critical thinking.
✨Collaborate Like a Pro
Since this role involves working with hardware, software, and algorithm specialists, be ready to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to optimise hardware/software performance.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and machine learning frameworks. If you've had exposure to High-Level Synthesis (HLS) or ASIC development flows, make sure to highlight that. Showing that you're passionate about cutting-edge technology will set you apart!
