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- Tasks: Contribute to DFT architecture for a cutting-edge AI accelerator ASIC.
- Company: Fractile, a leading tech company in Bristol with a collaborative culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Join a team at the forefront of AI technology and make a real impact.
- Qualifications: Degree in Electrical Engineering and hands-on DFT experience required.
The predicted salary is between 45000 - 55000 £ per year.
Fractile in Bristol is looking for an experienced engineer to contribute to the DFT architecture for a multi-core AI accelerator ASIC. This role involves working on scan, ATPG, and memory tests, driving integration of DFT tools, and ensuring clean implementation in the design.
Candidates must have a degree in Electrical Engineering or similar, with hands-on experience in DFT and ASIC development. Join a collaborative team at the forefront of AI technology.
DFT Engineer for AI Accelerator SoC employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DFT Engineer for AI Accelerator SoC
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Fractile or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for technical interviews by brushing up on your DFT knowledge and ASIC development skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your passion for AI technology! During interviews, share your thoughts on the latest trends in AI and how they relate to DFT architecture. This will demonstrate your enthusiasm and keep you memorable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace DFT Engineer for AI Accelerator SoC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DFT and ASIC development. 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 DFT Engineer position and how your background makes you a perfect fit for our team at Fractile.
Showcase Your Technical Skills: When filling out your application, be specific about your hands-on experience with scan, ATPG, and memory tests. We love seeing concrete examples of how you've driven integration of DFT tools in past projects.
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 any important updates from our team!
How to prepare for a job interview at Fractile
✨Know Your DFT Inside Out
Make sure you brush up on your knowledge of Design for Test (DFT) principles, especially in relation to multi-core AI accelerator ASICs. Be prepared to discuss specific techniques like scan, ATPG, and memory tests, as well as any hands-on experience you've had with these processes.
✨Showcase Your Collaboration Skills
Since this role involves working within a collaborative team, think of examples from your past experiences where you successfully worked with others. Highlight how you contributed to team projects, especially in the context of DFT architecture or ASIC development.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of DFT tools and their integration. Review common challenges faced during implementation and be ready to share how you’ve tackled similar issues in your previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the current projects the team is working on or the future direction of their AI technology. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.