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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 embedded systems, Linux, and edge hardware like Raspberry Pi and Nvidia Jetson.
- 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 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
✨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! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Edge Systems Engineer – Embedded AI & Machine Vision
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: Take a moment to customise your CV and cover letter for this specific role. Mention any relevant projects or experiences that demonstrate your ability to design and optimise edge platforms. We love seeing how you can fit into our innovative team!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the Embedded Edge Systems Engineer position.
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 – just follow the prompts!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of embedded systems, especially with Linux and edge hardware like Raspberry Pi and Nvidia Jetson. Be ready to discuss specific projects you've worked on and the challenges you faced, as this will show your hands-on experience.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with AI and hardware teams, be prepared to talk about your experience in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to achieve project goals.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of edge platforms. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical team members.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects involving AI and machine vision, or how they envision the future of edge systems. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
