At a Glance
- Tasks: Create cutting-edge pre-silicon models for AI acceleration hardware.
- Company: Leading UK tech company at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and career advancement opportunities.
- Other info: Work in vibrant Bristol or London with a collaborative culture.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in semiconductor IP modelling with C/C++ and Python skills.
The predicted salary is between 60000 - 84000 € per year.
A leading technology company in the UK is seeking a Senior Modelling Engineer to develop pre-silicon models for their innovative AI acceleration hardware. The role involves collaboration with hardware and software teams to drive architecture and performance evaluation.
Candidates should have:
- Over 5 years of experience in semiconductor IP modelling
- Strong skills in C/C++ and Python
- A degree in a relevant field
This position supports work in Bristol or London.
Senior Modelling Engineer - AI Accelerator IP (Pre-Silicon) employer: Fractile
As a leading technology company in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive training programmes, and ample opportunities for professional growth, particularly in our vibrant offices located in Bristol and London, where cutting-edge technology meets a supportive community.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Modelling Engineer - AI Accelerator IP (Pre-Silicon)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI or semiconductor fields. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C/C++ and Python. This is your chance to demonstrate your expertise in semiconductor IP modelling and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice common interview questions related to AI acceleration hardware and be ready to discuss how you collaborate with teams. We want you to shine!
✨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 proactive and eager to join our innovative team.
We think you need these skills to ace Senior Modelling Engineer - AI Accelerator IP (Pre-Silicon)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in semiconductor IP modelling and your skills in C/C++ and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI acceleration hardware and how your experience makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Collaboration Skills:Since this role involves working closely with hardware and software teams, make sure to mention any collaborative projects you've been part of. We love to see how you’ve worked with others to drive architecture and performance evaluation.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Fractile
✨Know Your Tech Inside Out
Make sure you brush up on your semiconductor IP modelling knowledge. Be ready to discuss your experience with C/C++ and Python, as well as any specific projects you've worked on that relate to AI acceleration hardware.
✨Showcase Collaboration Skills
Since the role involves working closely with hardware and software teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to architecture and performance evaluation.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts clearly and concisely, as you may need to demonstrate your understanding of pre-silicon models and their impact on AI hardware performance.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's projects or future directions in AI acceleration. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
