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- Tasks: Design and optimize GPU systems for advanced graphics and compute performance.
- Company: Join a cutting-edge tech company driving innovations in GPU technology.
- Benefits: Work on exciting projects with a collaborative team and flexible work options.
- Why this job: Shape the future of graphics and compute technologies while solving complex challenges.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; strong GPU architecture knowledge required.
- Other info: Passion for graphics and compute technologies is a must!
The predicted salary is between 43200 - 72000 £ per year.
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 now or send your CV to nk@eu-recruit . We look forward to hearing from you!
GPU Engineer employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GPU Engineer
✨Tip Number 1
Make sure to showcase your experience with GPU architecture and graphics pipeline development in your conversations. Highlight specific projects where you optimized performance or implemented advanced techniques, as this will resonate well with our team.
✨Tip Number 2
Familiarize yourself with the latest trends in GPU technologies and be ready to discuss them during your interview. Showing that you're passionate about cutting-edge graphics and compute technologies can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through real-world examples. We value candidates who can think critically and collaborate effectively, so share instances where you worked with cross-functional teams to deliver integrated solutions.
✨Tip Number 4
If you have experience with machine learning frameworks or low-power GPU design, make sure to bring it up. These skills are a plus for us and can give you an edge in the selection process.
We think you need these skills to ace GPU Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU architecture, graphics pipeline development, and any relevant programming languages like C/C++, OpenCL, or CUDA. Emphasize projects that showcase your problem-solving skills and collaborative work.
Craft a Strong Cover Letter: In your cover letter, express your passion for cutting-edge graphics and compute technologies. Mention specific experiences that align with the responsibilities listed in the job description, such as optimizing GPU performance or collaborating with cross-functional teams.
Showcase Relevant Projects: Include any personal or professional projects that demonstrate your expertise in GPU design, performance analysis, or machine learning frameworks. This can help illustrate your hands-on experience and technical skills.
Highlight Continuous Learning: Mention any recent courses, certifications, or research you’ve undertaken related to GPU technologies or parallel processing. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with GPU architecture and graphics pipeline development in detail. Highlight specific projects where you optimized performance or implemented advanced techniques, as this will demonstrate your hands-on knowledge.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex challenges, especially those related to GPU performance analysis and optimization.
✨Familiarize Yourself with Current Technologies
Stay updated on the latest trends in GPU design and compute technologies. Be ready to discuss state-of-the-art techniques in graphics rendering or AI acceleration, as this shows your passion for the field and your commitment to innovation.
✨Emphasize Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with hardware engineers, software developers, or system architects in the past. This will highlight your ability to work effectively in a team environment.
