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For Companies At a Glance
- Tasks: Join a team innovating in graphics hardware and driver development.
- Company: Imagination, a leading UK tech company shaping the future of GPU and AI technologies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of graphics technology and solve complex challenges.
- Qualifications: Strong C++ skills and a passion for problem-solving in the GPU space.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
As a GPU Research Modelling Engineer, you will be working on challenging projects at the forefront of graphics hardware and driver innovation.
Responsibilities
- Participate in the development of the research compiler targeting the Vulkan API.
- Work closely with hardware design teams to enable and optimise Vulkan functionality.
- Work within a team of GPU researchers to simulate new graphics API features from driver to hardware implementation.
- Maintain and improve the C++ code base and effectiveness of the research compiler.
- Identify, debug, and fix complex technical problems across the simulation driver model.
- Interface with teams of HW Architects and Engineers to model, test and improve architectural and functional specifications.
- Communicate with SW engineering teams and interact with production driver code base to make improvements to both the research and production drivers.
About You
- Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say.
- You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard.
- You are an outstanding problem solver with an understanding of the GPU and the wider graphics ecosystem - open ended questions and challenging problems inspire you.
- You are an exceptional communicator with the ability to share complex ideas with others, renowned for your ability to think on your feet and effortlessly grasp new concepts presented to you either verbally or in code.
- You are diligent, results orientated, and focused.
Qualifications
- Good competence in engineering level mathematics.
- Strong and proven ability to read and author complex C++ code.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail.
Nice to Have
- Some knowledge of Vulkan and modern 3D graphics.
- Graphics engine or other low level development background in Vulkan.
- Compiler programming experience.
- Ray Tracing Experience.
- Low-level shader code programming experience.
- Experience working in a Scrum development team.
Who We Are
Imagination is a UK‑based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time‑to‑market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces.
Additional Information
If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email recruitment@imgtec.com.
GPU Research Modelling Engineer in Kings Langley employer: Imagination Technologies
Contact Detail:
Imagination Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GPU Research Modelling Engineer in Kings Langley
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Vulkan or C++. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. Practice explaining complex concepts clearly, as communication is key in this role. We want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board!
We think you need these skills to ace GPU Research Modelling Engineer in Kings Langley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the GPU Research Modelling Engineer role. Highlight your C++ expertise and any relevant projects you've worked on, especially those involving Vulkan or graphics APIs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about GPU technology and how your problem-solving skills can contribute to our team. Be sure to mention specific experiences that demonstrate your ability to tackle complex challenges.
Showcase Your Communication Skills: Since communication is key in this role, make sure your application clearly conveys your ideas. Use straightforward language and structure your thoughts logically to show us you can share complex concepts effectively.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. This way, your application will be reviewed promptly, and you'll be one step closer to joining our innovative team!
How to prepare for a job interview at Imagination Technologies
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss complex code you've written or debugged, as well as any specific challenges you've faced in your projects. This will show your technical prowess and problem-solving abilities.
✨Familiarise Yourself with Vulkan
Since the role involves working with the Vulkan API, it’s crucial to have a solid understanding of its principles and functionalities. Try to read up on recent developments in Vulkan and think about how they could apply to the projects you might work on. This will demonstrate your genuine interest and readiness to contribute.
✨Prepare for Problem-Solving Questions
Expect to face open-ended questions that test your analytical skills. Practice articulating your thought process when tackling complex problems, especially those related to GPU architecture and driver implementation. This will help you showcase your critical thinking and innovative mindset.
✨Communicate Clearly and Collaboratively
As an exceptional communicator, you’ll need to convey complex ideas effectively. During the interview, focus on demonstrating your ability to collaborate with others, whether it's discussing past team experiences or explaining technical concepts. This will highlight your fit within their team-oriented culture.
