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- Tasks: Create pre-silicon models for groundbreaking AI acceleration hardware.
- Company: Leading AI technology firm at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- 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.
- Other info: Fast-paced environment with exciting projects in Bristol or London.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology firm is seeking a Senior Modelling Engineer to develop pre-silicon models for innovative AI acceleration hardware. You will collaborate closely with hardware, software, and machine learning engineers to drive product design and verification.
Ideal candidates will have over 5 years in semiconductor IP modelling and strong skills in C/C++ and Python. Join a fast-paced environment that focuses on cutting-edge AI development in either the Bristol or London office.
Senior Modelling Engineer, AI Accelerator Pre-Silicon in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Modelling Engineer, AI Accelerator Pre-Silicon in London
✨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 GitHub repository showcasing your projects in C/C++ and Python. This is your chance to demonstrate your expertise in semiconductor IP modelling and AI acceleration.
✨Tip Number 3
Ace the interview! Research common interview questions for modelling engineers and practice your responses. We want to highlight our collaborative spirit and technical prowess, so be ready to discuss how we can work with hardware and software teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Modelling Engineer, AI Accelerator Pre-Silicon in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C/C++ and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in semiconductor IP modelling and how it relates to developing pre-silicon models. We love seeing candidates who take the time to connect their background to what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the position.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Fractile
✨Know Your Tech Inside Out
Make sure you brush up on your C/C++ and Python skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in semiconductor IP modelling. This will show that you’re not just familiar with the tech but have practical experience.
✨Understand the AI Landscape
Familiarise yourself with the latest trends in AI acceleration hardware. Research the company’s products and how they fit into the broader market. This knowledge will help you engage in meaningful conversations and demonstrate your genuine interest in their work.
✨Collaboration is Key
Since the role involves working closely with hardware, software, and machine learning engineers, be prepared to discuss your teamwork experiences. Share examples of how you’ve successfully collaborated on projects, highlighting your communication skills and ability to integrate different perspectives.
✨Prepare for Technical Questions
Expect technical questions that test your modelling skills and problem-solving abilities. Practice explaining complex concepts clearly and concisely, as if you were teaching someone else. This will showcase your expertise and your ability to communicate effectively with non-technical team members.
