GPU-Accelerated C++ Software Engineer
GPU-Accelerated C++ Software Engineer

GPU-Accelerated C++ Software Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop high-performance systems using C++ and GPU acceleration.
  • Company: Join a leading tech recruiting firm focused on innovation and collaboration.
  • Benefits: Enjoy a competitive salary, flexible work-life balance, and opportunities for growth.
  • Why this job: Make an impact in entertainment and science with cutting-edge technology.
  • Qualifications: Proven skills in modern C++ and CUDA, with a passion for teamwork.
  • Other info: Thriving environment that encourages creativity and professional development.

The predicted salary is between 36000 - 60000 £ per year.

A technology recruiting firm is seeking a skilled Software Engineer specialized in C++ and GPU acceleration. You will develop high-performance systems for various applications including entertainment and scientific domains. The role involves designing algorithms, managing memory interactions, and profiling GPU workloads. Ideal candidates will have modern C++ skills and proven CUDA experience, thriving in an innovative and collaborative environment that values work-life balance.

GPU-Accelerated C++ Software Engineer employer: RECRUIT 12

Join a forward-thinking technology recruiting firm that prioritises innovation and collaboration, offering a dynamic work culture where your skills in C++ and GPU acceleration will thrive. With a strong emphasis on work-life balance, we provide ample opportunities for professional growth and development, ensuring you can make a meaningful impact in the entertainment and scientific domains while enjoying a supportive team environment.
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Contact Detail:

RECRUIT 12 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land GPU-Accelerated C++ Software Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with C++ and GPU acceleration. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to high-performance systems and CUDA experience. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on algorithms and memory management. Practice coding challenges that focus on GPU workloads, as this will help you feel confident and ready to impress during the interview.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace GPU-Accelerated C++ Software Engineer

C++
GPU Acceleration
Algorithm Design
Memory Management
GPU Workload Profiling
CUDA
High-Performance Computing
Collaboration Skills
Innovative Thinking
Work-Life Balance Awareness

Some tips for your application 🫡

Show Off Your C++ Skills: Make sure to highlight your modern C++ skills in your application. We want to see how you've used C++ in real projects, especially if you've worked on GPU acceleration. Don't hold back on the details!

Talk About Your CUDA Experience: If you've got proven CUDA experience, let us know! Share specific examples of how you've implemented CUDA in your work. This will really help us understand your expertise in GPU workloads.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate a well-structured application that gets straight to the good stuff. Use bullet points if it helps make your achievements stand out!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from us!

How to prepare for a job interview at RECRUIT 12

✨Know Your C++ Inside Out

Make sure you brush up on your modern C++ skills. Be prepared to discuss specific features like smart pointers, lambda expressions, and the STL. Practising coding problems that involve these concepts can really help you demonstrate your expertise.

✨Show Off Your CUDA Experience

Since the role requires proven CUDA experience, be ready to talk about your past projects involving GPU acceleration. Prepare to explain how you optimised performance and managed memory interactions in those projects. Real-world examples will make your answers stand out.

✨Understand the Applications

Familiarise yourself with the entertainment and scientific domains mentioned in the job description. Think about how high-performance systems are used in these areas and be ready to discuss how your skills can contribute to innovative solutions in these fields.

✨Emphasise Collaboration and Work-Life Balance

This role values a collaborative environment, so be prepared to share experiences where teamwork led to successful outcomes. Also, don’t hesitate to express your views on work-life balance and how it contributes to your productivity and creativity.

GPU-Accelerated C++ Software Engineer
RECRUIT 12

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