Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop algorithms in CUDA and manage GPU systems for optimal performance.
- Company: Join a leading tech firm focused on innovative GPU processing solutions.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill enhancement.
- Why this job: Be at the forefront of technology, enhancing real-time data processing and deep learning.
- Qualifications: Proficiency in C++ and experience with CUDA and GPU systems.
- Other info: Fast-paced environment with significant potential for career advancement.
The predicted salary is between 30000 - 50000 £ per year.
We are looking for a C++ software engineer to help us maximize the performance of GPU based processing within our systems. This includes tasks such as the efficient handling of real-time data streams, image processing and deep learning.
Key Responsibilities
- Developing Algorithms in CUDA.
- Host-Device system management (memory management, data transfers, multi-GPU support).
- Deployment of ML models.
C++ Software Engineer (CUDA) employer: SSC Recruitment Solutions Ltd
Contact Detail:
SSC Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Software Engineer (CUDA)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with C++ and CUDA. Attend meetups or online webinars to connect with potential employers and show them your passion for GPU processing.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to real-time data streams, image processing, or deep learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system management concepts. Practice coding challenges that focus on memory management and data transfers, as these are crucial for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace C++ Software Engineer (CUDA)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and CUDA specifically. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Showcase Your Skills: In your cover letter, give us a sneak peek into your problem-solving skills. Talk about any algorithms you've developed or optimised, especially in GPU processing. We love seeing your thought process!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re the perfect fit for the role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at SSC Recruitment Solutions Ltd
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific features of the language, such as memory management and object-oriented programming principles, as these will likely come up in technical questions.
✨Get Familiar with CUDA
Since the role focuses on GPU processing, it’s crucial to have a solid understanding of CUDA. Review how to develop algorithms in CUDA and be ready to explain your experience with multi-GPU support and real-time data handling.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges during the interview. Practice solving problems related to image processing and deep learning, as these are key responsibilities. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to GPU processing and their current projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
