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- Tasks: Develop drivers for cutting-edge AI accelerator hardware in a dynamic team.
- Company: Leading AI technology company based in London or Bristol.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a fast-paced team and push the boundaries of AI technology.
- Qualifications: Strong C/C++ skills and experience in driver development.
- Other info: Collaborate with ML engineers in an innovative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI technology company is seeking a Senior Linux Kernel Driver Engineer to develop drivers for groundbreaking AI accelerator hardware. Located in London or Bristol, you will work in a dynamic environment with ML engineers.
The ideal candidate has strong C/C++ skills, experience in driver development, and a solid understanding of optimization techniques.
Join us to push the boundaries of AI technology in a fast-paced team atmosphere.
Senior Linux Kernel Driver for AI Accelerators in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Linux Kernel Driver for AI Accelerators in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those working with Linux kernel drivers. Attend meetups or online webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to driver development and optimisation techniques. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C/C++ knowledge and understanding of AI accelerators. Practice coding challenges and be ready to discuss your past experiences in driver development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Linux Kernel Driver for AI Accelerators in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong C/C++ skills and any relevant experience in driver development. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your understanding of optimisation techniques and how they can benefit our AI accelerator hardware. It’s all about making that connection!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your passion for the role without wading through fluff!
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 this exciting opportunity in our dynamic team!
How to prepare for a job interview at Fractile
✨Know Your C/C++ Inside Out
Make sure you brush up on your C and C++ skills before the interview. Be prepared to discuss your previous projects and how you've used these languages in driver development. They’ll likely ask you technical questions, so having a few examples ready can really help you stand out.
✨Understand Driver Development
Familiarise yourself with the Linux kernel and the specifics of driver development for AI accelerators. Review common challenges and solutions in this area, as well as any recent advancements. Showing that you’re up-to-date with the latest trends will impress the interviewers.
✨Optimisation Techniques Are Key
Since optimisation is crucial for AI accelerators, be ready to discuss various techniques you’ve implemented in past projects. Think about how you can improve performance and efficiency, and be prepared to explain your thought process behind these decisions.
✨Show Your Team Spirit
This role involves working closely with ML engineers, so highlight your teamwork skills. Share examples of how you’ve collaborated in the past, especially in fast-paced environments. Emphasising your ability to communicate and work well with others will show you’re a great fit for their dynamic team.
