Senior FPGA Network Engineer

Farringdon
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Data Scientist

Senior Machine Learning Engineer

Senior Computer Vision Engineer

Senior Lead Analyst - Data Science_ AI/ML & Gen AI - UK

Senior FPGA Network Engineer | London | Hybrid | Contract | Competitive rate | Outside IR35

Are you an experienced FPGA Engineer with high-speed computer networking experience? Are you looking to work on cutting edge products in AI and Machine Learning?

Then this might just be the role for you!

We are working with a disruptive London based Computer Networking company who are working on the cutting edge of AI and Machine learning technology with applications for increased productivity in Data Centre’s and HPCs.

They are looking for a Senior FPGA Engineer on a contract basis with strong High-Speed networking experience to join them in their mission to revolutionise AI systems whilst reducing energy consumption and stiving for a sustainable future.
 
Key responsibilities:

Work within a multidisciplinary R&D team to generate product ideas, product concepts and resolve any issues.
Presenting products internally to management and other stakeholders.
Inhouse and external prototyping.
Delivering FPGA based systems for internal and client use.
Delivering risk analyses, test plans, protocols report writing and documentation for FPGA Systems. 
Required experience:

Minimum 5 years of hands-on industry experience in FPGA design for 100Gb/s networks.
Must have high-speed interfacing and Memory Access experience such as PCIe (Driver Development), CXL, RDMA, DDR4, Ethernet & GTM.
Must have High Level Synthesis (HLS) experience.
Expert understanding of clock domain & crossing techniques.
Expert understanding of FPGA tool flows (synthesis, partitioning, place & route, timing analysis).
Expert SystemVerilog, Verilog & VHDL skills.
Strong experience with Xilinx Versal Premium & Intel Agilex 7.
Strong scripting experience with TCL and/or Python.
Strong experience with Questa, ModelSim, GHDL, Verilator, Quartus, Vivado & Vitis.What’s in it for you?

Competitive rate, outside IR35

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.