SoC Architect for AI Compute Platforms
SoC Architect for AI Compute Platforms

SoC Architect for AI Compute Platforms

Full-Time 60000 - 80000 £ / year (est.) No home office possible
graphcore

At a Glance

  • Tasks: Design and specify complex silicon devices for high-performance AI technology.
  • Company: Leading tech firm in Bristol with a focus on innovation.
  • Benefits: Competitive salary, great benefits, and opportunities for career growth.
  • Other info: Collaborative environment with cross-functional teams and exciting projects.
  • Why this job: Shape the future of AI and work on cutting-edge technology.
  • Qualifications: Degree in electronic engineering or computer science; experience in technical specifications.

The predicted salary is between 60000 - 80000 £ per year.

A leading technology firm in Bristol is seeking a SoC Architect to design and specify complex silicon devices within high-performance AI acceleration technology.

Responsibilities include:

  • Collaborating with cross-functional teams
  • Guiding silicon design
  • Evaluating third-party IP

The ideal candidate will have:

  • A degree in electronic engineering or computer science
  • Strong experience in writing technical specifications
  • Knowledge of architecture modeling in Python, C++, or Rust

This role offers competitive benefits and the opportunity to impact the future of artificial intelligence.

SoC Architect for AI Compute Platforms employer: graphcore

As a leading technology firm in Bristol, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With competitive benefits, opportunities for professional growth, and the chance to contribute to cutting-edge AI acceleration technology, we are committed to creating a rewarding environment where talent thrives and ideas flourish.
graphcore

Contact Detail:

graphcore Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land SoC Architect for AI Compute Platforms

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to silicon design or AI. This gives potential employers a taste of what you can do beyond your CV.

✨Tip Number 3

Prepare for interviews by brushing up on technical questions related to SoC architecture and AI compute platforms. Practice explaining your past projects and how they relate to the role you're applying for.

✨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 are proactive about their job search!

We think you need these skills to ace SoC Architect for AI Compute Platforms

Silicon Design
Technical Specification Writing
Architecture Modelling
Python
C++
Rust
Cross-Functional Collaboration
AI Acceleration Technology
Problem-Solving Skills
Analytical Skills
Communication Skills
Degree in Electronic Engineering
Degree in Computer Science

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in electronic engineering or computer science. We want to see how your skills align with the SoC Architect role, so don’t be shy about showcasing relevant projects and achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI acceleration technology and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!

Showcase Your Technical Skills: Since this role involves writing technical specifications and architecture modelling, make sure to mention your proficiency in Python, C++, or Rust. We’re keen to see examples of how you’ve applied these skills 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 out on any important updates. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at graphcore

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of silicon design and AI acceleration technology. Be ready to discuss your experience with architecture modelling in Python, C++, or Rust, as well as any technical specifications you've written. This will show that you're not just familiar with the concepts but can also apply them effectively.

✨Collaborate Like a Pro

Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Think about specific projects where teamwork was key, and highlight your communication skills. This will demonstrate that you can work well with others and contribute positively to the team dynamic.

✨Evaluate and Discuss Third-Party IP

Familiarise yourself with evaluating third-party intellectual property (IP) relevant to the role. Be ready to discuss your approach to assessing these technologies and how they can fit into a larger project. This shows that you have a strategic mindset and can think critically about integrating external solutions.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's vision for AI compute platforms and their current projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals. Remember, interviews are a two-way street!

SoC Architect for AI Compute Platforms
graphcore

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