At a Glance
- Tasks: Optimise GPU performance for machine learning by developing and fine-tuning C++ code.
- Company: Dynamic tech recruitment agency in London focused on cutting-edge AI and ML.
- Benefits: Competitive salary, opportunities for personal growth, and a creative work environment.
- Why this job: Influence the future of AI and ML while working with innovative technologies.
- Qualifications: Expertise in C++, GPU architectures, and understanding of ML algorithms.
- Other info: Collaborate with talented ML engineers in a fast-paced, creative setting.
The predicted salary is between 43200 - 72000 £ per year.
A tech recruitment agency is looking for a Low-Level C++ Engineer in London to optimize GPU performance for machine learning workloads. The role involves developing and fine-tuning C++ code for GPU hardware and collaborating with ML engineers for performance improvements.
Candidates should have expertise in:
- C++
- GPU architectures
- Understanding ML algorithms
This position offers a unique opportunity to influence AI and ML technologies, fostering personal growth and creativity.
Low-Level C++ GPU Engineer for ML in England employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Level C++ GPU Engineer for ML in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GPU tech and ML. Attend meetups or online webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects, especially those related to GPU performance and machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ knowledge and understanding of GPU architectures. Practice coding challenges and be ready to discuss how you've optimised code in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Low-Level C++ GPU Engineer for ML in England
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your expertise in C++ right from the start. We want to see how you've used it in past projects, especially if you've optimised code for GPU performance.
Talk About Your GPU Knowledge: Don’t forget to mention your understanding of GPU architectures! We’re keen to know how you’ve worked with them and any specific experiences that relate to machine learning workloads.
Collaborate Like a Pro: Since this role involves working closely with ML engineers, share examples of how you’ve collaborated in the past. We love seeing teamwork in action, especially when it leads to performance improvements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Hunter Bond
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've optimised code, especially for GPU performance. They’ll likely ask you technical questions, so having examples ready will show your expertise.
✨Understand GPU Architectures
Familiarise yourself with different GPU architectures and how they impact machine learning workloads. Being able to discuss the strengths and weaknesses of various GPUs will demonstrate your knowledge and help you stand out as a candidate.
✨Collaborate Like a Pro
Since the role involves working closely with ML engineers, be ready to talk about your experience in collaborative projects. Share examples of how you’ve worked with cross-functional teams to improve performance and solve complex problems.
✨Show Your Passion for AI and ML
This position is all about influencing AI and ML technologies, so let your enthusiasm shine through! Discuss any personal projects or research you’ve done in this area. Showing that you’re genuinely interested in the field can make a big difference.