GPU-Accelerated C++ Software Engineer in Oxford
GPU-Accelerated C++ Software Engineer

GPU-Accelerated C++ Software Engineer in Oxford

Oxford Full-Time 30000 - 50000 Β£ / 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 competitive pay, flexible work-life balance, and opportunities for growth.
  • Why this job: Make an impact in entertainment and science with cutting-edge technology.
  • Qualifications: Proficient in modern C++ and experienced with CUDA.
  • Other info: Thriving environment that encourages creativity and teamwork.

The predicted salary is between 30000 - 50000 Β£ 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 in Oxford 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 in Oxford

✨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 insider info about job openings 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, so you're ready to impress when it comes to problem-solving on the spot.

✨Tip Number 4

Don't forget to apply through our website! We have 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 in Oxford

C++
GPU Acceleration
Algorithm Design
Memory Management
CUDA
Performance Profiling
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 with GPU acceleration. Don't hold back on showcasing your technical prowess!

Talk About Your CUDA Experience: If you've got experience with CUDA, let us know! Share specific examples of how you've implemented it in your work. This will help us understand your hands-on experience and how you can contribute to our innovative projects.

Design Algorithms Like a Pro: In your application, mention any algorithms you've designed or optimised. We love seeing candidates who can think critically about performance and efficiency, especially in high-performance systems. Give us the details!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

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 before the interview. Be prepared to discuss specific features like smart pointers, lambda expressions, and concurrency. 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 experience 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 any relevant experiences or ideas you have. This shows your genuine interest in the role.

✨Emphasise Collaboration and Work-Life Balance

Since the company values a collaborative environment and work-life balance, be prepared to discuss how you thrive in team settings. Share examples of successful collaborations and how you maintain a healthy work-life balance while delivering high-quality results.

GPU-Accelerated C++ Software Engineer in Oxford
RECRUIT 12
Location: Oxford

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