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- Tasks: Create software models for cutting-edge AI acceleration hardware and collaborate with diverse engineering teams.
- Company: Leading AI technology company in the UK with a focus on innovation.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Flexible working from Bristol or London with excellent career advancement potential.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in semiconductor IP modelling and strong skills in C/C++ and Python.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI technology company in the UK is seeking a Senior Modelling Engineer to develop software models for innovative AI acceleration hardware. You will collaborate with hardware, software, and machine learning engineers in a dynamic environment.
Ideal candidates will have:
- Significant experience in semiconductor IP modelling
- Strong C/C++ and Python skills
- A relevant degree
This position allows remote working from Bristol or London.
Senior Modelling Engineer, AI Accelerators (Pre-Silicon) in Bristol employer: Fractile Ltd
Contact Detail:
Fractile Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Modelling Engineer, AI Accelerators (Pre-Silicon) in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your C/C++ and Python projects. This is a great way to demonstrate your expertise in semiconductor IP modelling.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding AI acceleration hardware. We can help you with resources to ace those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job listings that you won’t find anywhere else.
We think you need these skills to ace Senior Modelling Engineer, AI Accelerators (Pre-Silicon) in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with semiconductor IP modelling and your proficiency in C/C++ and Python. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Modelling Engineer role. We love seeing candidates who take the time to connect their experience to our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about why you’re the right fit for us.
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 Fractile Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your semiconductor IP modelling skills and be ready to discuss specific projects you've worked on. Familiarise yourself with the latest trends in AI acceleration hardware, as this will show your passion and commitment to the field.
✨Showcase Your Coding Skills
Since strong C/C++ and Python skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Collaborate Like a Pro
This role involves working closely with hardware, software, and machine learning engineers. Be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you handle feedback in a team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future direction in AI technology. This not only shows your interest but also helps you gauge if the company culture aligns with your values and work style.