FPGA Network Engineer

Langham Recruitment
London
6 months ago
Applications closed

Related Jobs

View all jobs

Head of Hardware

Electronics Engineer

Senior Electronics Engineer

RF Design Engineer

Senior Electronics Engineer

Senior Electronics Engineer

FPGA Network Engineer | London | Hybrid | Up to £60k | Lucrative Stock Options Are you an FPGA Engineer with high-speed computer networking experience? Do you have a background in Optical Computer Networks & Systems? 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 FPGA Engineers 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. This role is suitable for candidates with a Batchelors, Masters or PhD in related fields with a strong desire to contribute in a commercial setting. 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. Preferred experience: Experience in FPGA design for Optical Networks and Systems. Experience with high-speed interfacing and Memory Access such as PCIe, CXL, RDMA, DDR4, Ethernet & GTM. Understanding of clock domain & crossing techniques. Understanding of FPGA tool flows (synthesis, partitioning, place & route, timing analysis). RTL skills with SystemVerilog, Verilog & VHDL. Experience with Xilinx Versal Premium & Intel Agilex 7. Scripting experience with TCL and/or Python. Experience with Questa, ModelSim, GHDL, Verilator, Quartus, Vivado & Vitis. What’s in it for you? Up to £60k DOE Lucrative stock options. 25 days holiday bank holidays Xmas/New Years Shutdown. Hybrid working. Relocation assistance. Visa sponsorship provided

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

Jobs

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.