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- Tasks: Develop drivers for innovative AI accelerator hardware and collaborate with ML engineers.
- 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: Dynamic environment with exciting challenges and career advancement opportunities.
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’ll 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with Linux kernel drivers. Attend meetups or webinars, and don’t be shy about asking for informational chats – you never know where a conversation might lead!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your C/C++ prowess or driver development experience, make sure to highlight it. It’s a great way to demonstrate your hands-on abilities and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on optimisation techniques and driver development concepts. Practice coding challenges that focus on these areas, as they’re likely to come up. We want you to feel confident and ready to impress!
✨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 take the initiative to connect directly with us!
We think you need these skills to ace Senior Linux Kernel Driver for AI Accelerators
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C/C++ skills and any relevant driver development experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technology and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects related to Linux kernel drivers or AI accelerators, make sure to mention them. We’re keen to see practical examples of your work, so include links or descriptions that highlight your contributions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our dynamic team in London or Bristol!
How to prepare for a job interview at Fractile
✨Know Your C/C++ Inside Out
Brush up on your C and C++ skills before the interview. Be prepared to discuss your experience with these languages in detail, especially in relation to driver development. They might ask you to solve coding problems or explain optimisation techniques, so practice coding challenges that focus on these areas.
✨Understand Driver Development
Make sure you have a solid grasp of Linux kernel driver architecture and how it interacts with hardware. Familiarise yourself with the specific drivers relevant to AI accelerators. Being able to discuss your previous projects and how you tackled challenges in driver development will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your problem-solving abilities during the interview. Think of examples where you optimised code or resolved complex issues in driver development. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Familiarise Yourself with AI Technologies
Since you'll be working with AI accelerator hardware, it's crucial to understand the basics of AI and machine learning. Research the latest trends and technologies in AI to show your enthusiasm for the field. This knowledge will help you engage in meaningful conversations with the ML engineers you'll be collaborating with.
