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- Tasks: Design and optimise edge platforms integrating hardware and software solutions.
- Company: Innovative tech company in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful work.
- Why this job: Join a dynamic team and make significant contributions to AI and hardware projects.
- Qualifications: Experience in building embedded systems, especially with Linux and edge hardware.
- Other info: Full working rights in the UK required; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
An innovative technology company in London is seeking an Embedded Edge Systems Engineer to design and optimise edge platforms that integrate hardware and software solutions.
The successful candidate will have robust experience in building embedded systems, particularly with Linux and edge hardware like Raspberry Pi and Nvidia Jetson.
This role offers a chance to work collaboratively across AI and hardware teams and make significant impacts on production systems.
Applicants must have full working rights in the UK as visa sponsorship is not available.
Edge Systems Engineer – Embedded AI & Machine Vision in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge Systems Engineer – Embedded AI & Machine Vision in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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, especially those involving embedded systems and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Linux and edge hardware. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Edge Systems Engineer – Embedded AI & Machine Vision in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with embedded systems, especially with Linux and edge hardware like Raspberry Pi and Nvidia Jetson. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for. It shows us you’re genuinely interested in the position!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. This helps us quickly see your qualifications.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you’re well-versed in embedded systems, especially with Linux and edge hardware like Raspberry Pi and Nvidia Jetson. Brush up on your technical knowledge and be ready to discuss specific projects you've worked on that showcase your skills.
✨Showcase Collaboration Skills
Since this role involves working across AI and hardware teams, be prepared to talk about your experience collaborating with different teams. Share examples of how you’ve successfully worked with others to solve problems or innovate solutions.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice explaining your thought process when tackling complex problems, particularly those related to edge platforms. This will demonstrate your analytical skills and ability to think on your feet.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects, team dynamics, or future technologies they plan to explore. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
