GPU Engineer

European Tech Recruit
Leeds
3 months ago
Applications closed

Related Jobs

View all jobs

Senior AI GPU Compiler Engineer - LLVM

Software Engineering Manager, TPU/GPU Compiler (Basé à London)

Software Engineer - Simulation

Senior Infrastructure Engineer

Principal Software Engineer

Staff Software Engineer

We are seeking talented and experienced GPU Engineers to join our team and help drive the development of advanced graphics and compute technologies. The ideal candidate will have a strong background in GPU architecture, graphics pipeline development, or computational acceleration, with a passion for optimizing performance, efficiency, and user experiences in cutting-edge systems.


Responsibilities


  • Design, implement, and optimize GPU hardware and software systems for advanced graphics and compute performance.
  • Develop, enhance, and maintain graphics drivers, APIs, and firmware to support a wide range of applications, including gaming, AI, and multimedia.
  • Analyze and improve GPU performance through profiling, debugging, and optimization at both hardware and software levels.
  • Collaborate with cross-functional teams, including hardware engineers, software developers, and system architects, to deliver integrated solutions.
  • Contribute to GPU architecture development, including shader cores, memory hierarchies, and parallel compute units.
  • Research and implement state-of-the-art techniques in graphics rendering, AI acceleration, or power management.
  • Drive innovations in GPU design to meet the demands of emerging technologies and use cases.


Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (Ph.D. is a plus).
  • Strong understanding of GPU architecture, parallel processing, and the graphics pipeline.
  • Proficiency in programming languages such as C/C++, OpenCL, CUDA, or Vulkan/DirectX/Metal.
  • Experience with GPU performance analysis tools and techniques.
  • Familiarity with machine learning frameworks and their acceleration on GPUs is a plus.
  • Strong problem-solving skills and ability to work effectively in a collaborative environment.


Preferred Skills


  • Knowledge of low-power GPU design and optimization techniques.
  • Experience with hardware-software co-design.
  • Familiarity with mobile or embedded system constraints and requirements.
  • Passion for cutting-edge graphics and compute technologies.


This role offers an exciting opportunity to work on innovative GPU solutions that power a wide range of devices, from mobile platforms to high-performance computing systems. If you thrive on solving complex technical challenges and shaping the future of graphics and compute technologies, we would love to hear from you!


If this sounds like the perfect opportunity for you,apply nowor send your CV tonk@eu-recruit. We look forward to hearing from you!

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.