Vice President of Engineering

Altium Associates
Oxfordshire
3 weeks ago
Create job alert

VP of Engineering – AI Data Centre Acceleration

Location - UK flexible

Six-figure package + Stock


Our client is a highly ambitious UK deep-tech venture leading the revolution in next-generation AI Acceleration for High-Performance Computing and Data Centre applications. The company’s innovative technology offers both a leap in performance and superior power efficiency designed to accelerate Artificial Intelligence computing performance in data centres.


Following significant funding they are now looking to appoint a VP of Engineering to join the executive team as they transform their technology and IP into a commercial product. We are seeking an experienced and capable technical leader to build a first-class team spanning optics, electronics, software and AI/ML algorithms to develop the world’s most advanced accelerator.


Responsibilities:


  • Own the full product development lifecycle from engineering prototypes to product iterations
  • Lead and scale a multidisciplinary engineering team spanning optical, electrical, mechanical, and software engineering
  • Oversee the integration of optical and electronic components and control software
  • Establish and optimise development processes and manufacturing workflows
  • Develop and maintain relationships with manufacturers, suppliers, and development partners
  • Create and manage product development schedules and manufacturing timelines
  • Drive design for manufacturability (DFM) and design for testing (DFT) initiatives
  • Contribute to the technical vision and product roadmap, aligning with company goals and market opportunities
  • Manage engineering budgets, resources, and capacity planning
  • Establish technical standards and best practices for hardware development, testing, and validation.


To be considered for this opportunity you will be able to demonstrate the following skills and industry background:


  • A minimum of 5 years’ experience in a senior engineering leadership role, combined with a strong technical background in either systems or semiconductor product design
  • A proven track record of successfully delivering complex hardware products using optical or electronic components, ideally targeting data centre applications
  • An understanding of optical, electronic systems or IC design and manufacturing processes in telecoms, computing, networks or a related field
  • Project management experience in early-stage hardware prototyping through to product manufacturing
  • A strong track record of building and scaling engineering teams
  • Experience of implementing engineering processes and test & validation systems
  • Previous experience of operating in a fast-faced startup environment
  • Bachelor's degree or higher in electronic engineering, physics, photonics or a related subject.


For a confidential discussion and further information about this unique opportunity, please send your CV to .

Related Jobs

View all jobs

VP OA Asset Leader

Director, Business Development - UK (Basé à London)

eFX Quantitative Developer, Vice President

Vice President, Product (Basé à London)

Assistant Vice President, US Consumer Bank Audit - Bilingual and flexible schedule opportunity (Hiring Immediately)

Strategic Portfolio Management - Vice President (Basé à London)

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.

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Careers

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.

🍪 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.