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- Tasks: Develop intelligent test frameworks and optimisation algorithms for optical network systems.
- Company: Innovative tech company in Greater London with a focus on AI-driven solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and enhance performance in high-volume manufacturing environments.
- Qualifications: Proficiency in software development and experience with AI/ML techniques.
- Other info: Collaborate with hardware engineers to improve testing efficiency.
The predicted salary is between 36000 - 60000 £ per year.
A technology company in Greater London is seeking a Systems Optimisation Engineer to develop intelligent test frameworks and optimisation algorithms for optical network systems. This role involves collaborating with hardware test engineers to improve testing efficiency and product evaluation.
Ideally, candidates will have proficiency in software development and experience with metaheuristic optimisation and AI/ML techniques. Join a dynamic team and help enhance performance analysis and throughput in high-volume manufacturing environments.
Optical Systems Optimisation Engineer (AI-Driven Testing) employer: Oriole
Contact Detail:
Oriole Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Optical Systems Optimisation Engineer (AI-Driven Testing)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI/ML techniques and optimisation algorithms. This will help us stand out during interviews and demonstrate our hands-on expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine our responses, especially around technical questions related to optical systems and software development.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role of Systems Optimisation Engineer.
We think you need these skills to ace Optical Systems Optimisation Engineer (AI-Driven Testing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with software development and optimisation algorithms. 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 role and how your background in AI/ML techniques can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working closely with hardware test engineers, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our dynamic environment!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Oriole
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of optical network systems and the latest AI/ML techniques. Be ready to discuss how you've applied metaheuristic optimisation in past projects, as this will show your technical prowess and relevance to the role.
✨Collaborate Like a Pro
Since this role involves working closely with hardware test engineers, think of examples where you've successfully collaborated in a team setting. Highlight your communication skills and how you’ve contributed to improving testing efficiency in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach developing intelligent test frameworks or optimising algorithms. This will demonstrate your analytical thinking and ability to innovate under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the current challenges the team faces in performance analysis or how they envision the future of AI-driven testing. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
