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- Tasks: Develop customer-facing components for an innovative AI platform and optimise end-to-end pipelines.
- Company: Leading AI technology company based in Bristol with a focus on innovation.
- Benefits: Flexible work environment, competitive compensation, and an inclusive culture.
- Why this job: Join a cutting-edge team and make a real impact in the AI industry.
- Qualifications: BS/MS in Computer Science or Electrical Engineering, experience with Python and ML libraries.
- Other info: Exciting opportunities for growth in a collaborative and dynamic setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology company in Bristol is seeking innovative software engineers to develop customer-facing components of their AI platform. The role involves optimizing end-to-end pipelines and integrating popular AI model frameworks. Applicants should have a BS/MS in Computer Science or Electrical Engineering and experience with Python and ML libraries. We offer a flexible work environment, competitive compensation, and an inclusive culture.
Senior Embedded AI Applications Engineer (Edge Pipelines) in Bristol employer: Axelera AI
Contact Detail:
Axelera AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Embedded AI Applications Engineer (Edge Pipelines) in Bristol
✨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 Python and ML libraries. 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 your technical knowledge and problem-solving skills. Practice common interview questions related to AI and embedded systems, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Embedded AI Applications Engineer (Edge Pipelines) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML libraries, as well as any relevant projects. We want to see how your skills align with the role of a Senior Embedded AI Applications Engineer.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for AI and software engineering. Tell us why you’re excited about the opportunity to work on customer-facing components of our AI platform.
Showcase Your Projects: If you've worked on any interesting projects related to AI or embedded systems, make sure to mention them! We love seeing practical applications of your skills and how you’ve tackled challenges.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Axelera AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML libraries mentioned in the job description. Brush up on your knowledge of AI model frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you optimised pipelines or integrated components, and be ready to explain your thought process clearly.
✨Understand the Company Culture
Research the company’s values and culture. Since they emphasise an inclusive environment, think about how you can contribute to that culture and be prepared to share your thoughts on teamwork and collaboration.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you. Consider asking about their current projects or future goals in AI technology.
