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- Tasks: Develop custom parallel algorithms and enhance large-scale imagery processing on GPU platforms.
- Company: Leading Space Systems Engineering team in a dynamic environment.
- Benefits: Competitive daily rate, flexible work schedule, and opportunities for skill enhancement.
- Why this job: Join a cutting-edge team and contribute to exciting space technology projects.
- Qualifications: Proficiency in C++ and experience with GPU programming frameworks required.
- Other info: Initial 4-month contract with potential for extension and career growth.
The predicted salary is between 110000 - 150000 £ per year.
£550/day Inside IR-35 Portsmouth - 3 days per week on site
Initial 4 month contract
We're looking for a Software Engineer to work within a Space Systems Engineering team, developing custom parallel algorithms and accelerating the processing of large-scale imagery and data on GPU platforms.
Key technical skills:
- C++ development and GPU programming frameworks
- Parallel programming
GPU Software Engineer in Southampton employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GPU Software Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GPU software. 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 or GitHub repository showcasing your C++ projects and any parallel algorithms you've developed. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your GPU programming frameworks. Practice coding challenges related to parallel programming, as these are likely to come up during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace GPU Software Engineer in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and GPU programming frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about GPU software engineering and how you can contribute to our Space Systems Engineering team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in parallel programming or large-scale data processing. We love seeing how you think and approach challenges!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your experience with C++ development, and have examples ready that showcase your problem-solving abilities using this language.
✨Familiarise Yourself with GPU Programming Frameworks
Since the role involves GPU programming, it’s crucial to understand the frameworks used in the industry. Research popular frameworks like CUDA or OpenCL, and be ready to explain how you've used them in past projects.
✨Parallel Programming is Key
This position requires a solid grasp of parallel programming concepts. Prepare to discuss your experience with developing custom parallel algorithms and how they can accelerate data processing. Think of specific challenges you faced and how you overcame them.
✨Show Enthusiasm for Space Systems Engineering
The team you'll be joining focuses on Space Systems Engineering, so express your interest in this field. Share any relevant experiences or projects that demonstrate your passion for working with large-scale imagery and data in a space context.