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- Tasks: Architect and optimise GPU cores for performance and power efficiency.
- Company: Leading semiconductor company based in Cambridge with a focus on innovation.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
- Other info: Dynamic role with opportunities to collaborate with diverse teams and vendors.
- Why this job: Join a cutting-edge team and make a real impact in the tech industry.
- Qualifications: Master's or PhD in relevant fields and 5+ years of GPU experience.
The predicted salary is between 60000 - 80000 £ per year.
European Tech Recruit are working closely with a leading semiconductor company, based in Cambridge, who are looking for a talented GPU Compiler Engineer to join their team.
In this role you will architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
Responsibilities as GPU Compiler Engineer:
- Apply GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
- Build functional model simulations, develop software, and test for various graphics to verify correctness and ensure performance and power goals are met.
- Program and run graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
- Collaborate with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
- Develop driver and compiler software to support GPU products.
- Write detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.
Requirements:
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 5+ years of relevant GPU experience.
Performance & Efficiency Engineer in Cambridge employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance & Efficiency Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to GPU performance and efficiency. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences in detail. We want to hear how you’ve tackled challenges and optimised GPU cores in real-world scenarios.
✨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 engage with us directly.
We think you need these skills to ace Performance & Efficiency Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GPU Compiler Engineer role. Highlight your relevant experience and skills that align with the job description, especially your GPU knowledge and any projects you've worked on that demonstrate your expertise.
Showcase Your Projects: Include specific examples of projects where you've architected, designed, or optimised GPU cores. This will give us a clear picture of your hands-on experience and how you can contribute to our team.
Technical Documentation Matters: Since writing detailed technical documentation is part of the role, consider including samples or summaries of documentation you've created in the past. This shows us your ability to communicate complex ideas clearly.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at European Tech Recruit
✨Know Your GPUs Inside Out
Make sure you brush up on your GPU knowledge before the interview. Understand the architecture, design principles, and optimisation techniques. Be ready to discuss your past experiences with GPU cores and how you've tackled performance and power challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've identified and resolved issues in previous projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your role in building functional model simulations and running graphics tests.
✨Collaboration is Key
Since this role involves working with teams and third-party vendors, be prepared to discuss your collaboration experiences. Highlight instances where you guided implementation or aligned project goals with external users, showcasing your communication skills and teamwork.
✨Technical Documentation Matters
Don't underestimate the importance of technical documentation. Be ready to talk about your experience writing detailed feature descriptions and guiding users through software implementation. This shows your attention to detail and ability to communicate complex ideas clearly.