Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)
Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)

Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)

Cambridge Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop next-gen GPU software and optimise machine-learning compiler technology.
  • Company: Leading tech company in Cambridge with a focus on innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Why this job: Join a team shaping the future of GPU and ML technology.
  • Qualifications: 3+ years experience with LLVM and strong C++ programming skills.
  • Other info: On-site role with a dynamic work environment.

The predicted salary is between 48000 - 72000 £ per year.

A leading technology company in Cambridge is seeking a Staff Compiler Engineer to develop next-generation GPU software and machine-learning compiler technology. You will play a vital role in the design, optimisation, and verification of GPU drivers, ML graph compilers, and performance-critical components.

The role is on-site, requiring presence in the office five days a week.

If you have 3+ years of experience with LLVM and strong programming skills in C++, apply today to learn more.

Staff GPU & ML Compiler Engineer (On‑Site, Cambridge) employer: IC Resources

Join a leading technology company in Cambridge, where innovation meets collaboration. With a strong focus on employee growth and development, we offer a dynamic work culture that encourages creativity and teamwork. Enjoy competitive benefits and the opportunity to work on cutting-edge projects in a vibrant city known for its tech community.
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Contact Detail:

IC Resources Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

Tip Number 2

Show off your skills! If you've got projects or contributions related to GPU software or ML compilers, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your C++ and LLVM knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

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 about their job search!

We think you need these skills to ace Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)

LLVM
C++ Programming
GPU Software Development
Machine Learning Compiler Technology
Driver Design
Performance Optimisation
Verification Techniques
Graph Compiler Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with LLVM and C++. 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! Tell us why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal.

Showcase Your Passion for Technology: We love candidates who are passionate about technology! Mention any personal projects, contributions to open-source, or relevant hobbies that demonstrate your enthusiasm for GPU software and machine learning.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at IC Resources

Know Your Tech Inside Out

Make sure you brush up on your knowledge of LLVM and C++. Be prepared to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Expect technical questions that test your problem-solving abilities. Practice coding problems related to GPU software and ML compilers. Use platforms like LeetCode or HackerRank to sharpen your skills before the interview.

Understand the Company’s Vision

Research the company’s latest projects and innovations in GPU and machine-learning technology. Being able to discuss how your experience aligns with their goals will show your genuine interest and help you stand out.

Prepare Questions to Ask

Interviews are a two-way street! Prepare insightful questions about the team dynamics, project timelines, and the company culture. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.

Staff GPU & ML Compiler Engineer (On‑Site, Cambridge)
IC Resources
Location: Cambridge

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