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- Tasks: Transform cutting-edge research into high-performance GPU solutions for next-gen media tech.
- Company: Join a leading company at the forefront of innovative media technology.
- Benefits: Enjoy hybrid working with 3 days onsite and 2 days remote, plus great corporate perks.
- Why this job: Be part of a dynamic team that values innovation and creativity in tech development.
- Qualifications: Degree in Electronics Engineering or Computer Science; experience in video processing and C/C++ required.
- Other info: Work on cross-platform solutions and collaborate with external partners to enhance SDKs.
The predicted salary is between 48000 - 72000 £ per year.
As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home.
Key Skills & Qualifications:
- Degree in Electronics Engineering, Computer Science, or a related field.
- Proven experience in video processing or similarly performance-critical applications.
- Hands-on experience with Vulkan or other modern GPU APIs.
- Strong background in C/C++ development, both in building new systems and enhancing existing ones.
- Genuine enthusiasm for new ideas, a willingness to trust innovation, and the drive to execute effectively.
Responsibilities:
- Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies.
- Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android.
- Enhance, maintain, and expand existing codebases (C/C++/Python).
- Integrate third-party commercial and open-source software components.
- Produce clear and well-structured technical documentation, including specifications, APIs, and integration guides.
- Support external partners and customers in integrating SDKs.
- Test and evaluate complex signal processing code to ensure performance and reliability in production releases.
- Manage your own workload with accurate time estimates, effective task prioritisation, and a focus on high-quality design.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GPU Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in GPU technology and video processing. This will not only help you during interviews but also demonstrate your genuine enthusiasm for innovation, which is a key quality we're looking for.
✨Tip Number 2
Engage with online communities or forums related to GPU programming and C/C++. Sharing your knowledge and learning from others can enhance your understanding and show your commitment to the field.
✨Tip Number 3
Prepare to discuss specific projects where you've used Vulkan or other modern GPU APIs. Be ready to explain your thought process and the challenges you faced, as this will highlight your hands-on experience.
✨Tip Number 4
Practice articulating complex technical concepts clearly and concisely. Since producing clear documentation is part of the role, being able to communicate effectively will set you apart during discussions.
We think you need these skills to ace Senior GPU Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in video processing and GPU APIs like Vulkan. Emphasise your background in C/C++ development and any relevant projects that showcase your skills in high-performance applications.
Craft a Compelling Cover Letter: In your cover letter, express your genuine enthusiasm for innovative ideas and how you can contribute to the company's next-generation media technology. Mention specific examples of past projects where you've successfully translated research into practical solutions.
Showcase Technical Skills: Include a section in your application that details your hands-on experience with GPU compute technologies and cross-platform development. Highlight any specific achievements or challenges you've overcome in these areas.
Prepare for Technical Questions: Anticipate technical questions related to GPU programming, performance optimisation, and system design. Be ready to discuss your approach to testing and evaluating signal processing code, as well as your experience with documentation and SDK integration.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C/C++ development and GPU APIs like Vulkan. Bring examples of past projects where you translated complex mathematical models into practical applications, as this will demonstrate your ability to handle the technical demands of the role.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain your thought process when tackling performance-critical applications. Highlight any innovative solutions you've implemented in previous roles, as this shows your enthusiasm for new ideas and innovation.
✨Prepare for Cross-Platform Discussions
Since the role involves developing cross-platform solutions, brush up on your knowledge of different operating systems like Windows, Linux, iOS, and Android. Be ready to discuss how you've approached cross-platform development in the past and any challenges you faced.
✨Emphasise Communication Skills
Technical documentation is a key part of the job, so be prepared to talk about your experience in producing clear and structured documentation. Discuss how you’ve supported external partners or customers in the past, as effective communication is crucial for this role.
