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For Companies At a Glance
- Tasks: Design and optimise edge platforms, integrating hardware and software for scalable solutions.
- Company: Fast-growing tech company based in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI technologies that make a difference.
- Qualifications: Strong embedded systems experience and knowledge of Linux platforms required.
- Other info: Full UK working rights needed; no VISA sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing technology company in London is seeking an Embedded Edge Systems Engineer to design and optimize edge platforms. In this role, you will integrate hardware and software, collaborating with AI and deployment teams to deliver scalable solutions.
Candidates should have strong embedded systems experience and solid knowledge of Linux platforms. This position does not offer VISA sponsorship, so full UK working rights are required.
Edge AI Systems Engineer — Embedded, Factory Deployment employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI Systems Engineer — Embedded, Factory Deployment
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to embedded systems and edge platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Linux platforms and embedded systems. Practice common interview questions and think about how your experience aligns with the role.
✨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 over other candidates. Plus, it’s super easy!
We think you need these skills to ace Edge AI Systems Engineer — Embedded, Factory Deployment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with embedded systems and Linux platforms. 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 excited about the Edge AI Systems Engineer position and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working closely with AI and deployment teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
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 – just follow the prompts!
How to prepare for a job interview at IC Resources
✨Know Your Embedded Systems
Make sure you brush up on your embedded systems knowledge before the interview. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Familiarise Yourself with Linux
Since solid knowledge of Linux platforms is crucial for this role, ensure you're comfortable discussing Linux commands, system architecture, and any relevant tools you've used. You might even want to prepare a few examples of how you've optimised Linux for embedded applications.
✨Collaboration is Key
This position involves working closely with AI and deployment teams, so be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to integrate different technologies.
✨Understand Edge AI Solutions
Research the latest trends in edge AI and how they apply to factory deployments. Being able to discuss current technologies and their implications will demonstrate your enthusiasm for the field and your commitment to staying updated on industry advancements.
