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- Tasks: Design and optimise GPU compilers for next-gen computing experiences.
- Company: Leading tech innovator pushing boundaries in GPU technology.
- Benefits: Competitive salary, hands-on experience, and a chance to shape future tech.
- Why this job: Make a real impact on performance and power efficiency in cutting-edge products.
- Qualifications: Strong GPU knowledge and experience in compiler or driver software development.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
We are partnered with a leading technology innovator who is pushing the boundaries of next generation computing experiences. They are looking for a GPU Compiler Engineer to work on advanced GPU cores, helping drive performance and power efficiency across cutting edge products.
In this role, you will work closely with cross functional engineering teams to architect, design, implement, and optimize GPU compiler and software solutions that meet demanding customer and product requirements. You will be involved across the development lifecycle and have real influence on performance, power, and software design decisions.
What You Will Be Doing- Applying GPU knowledge to architect, design, implement, verify, and optimize GPU cores with a focus on performance and power.
- Building functional model simulations and developing software to validate graphics functionality, performance, and power targets.
- Programming and running graphics tests using industry tools and methodologies to identify functional, performance, and power issues.
- Collaborating with internal teams, third party vendors, and external users to guide implementation and ensure alignment with technical and product goals.
- Developing driver and compiler software to support GPU products.
- Writing detailed technical documentation and feature descriptions to support GPU software usage and implementation.
- Strong background in GPU architecture, graphics, or parallel computing.
- Experience developing compiler and or driver software for GPU or graphics related products.
- Solid understanding of performance and power optimization techniques.
- Hands on experience with simulation, testing, and debugging of graphics or GPU systems.
- Ability to collaborate effectively with cross functional engineering teams.
- Master’s degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- 5+ years of relevant GPU industry experience.
This role requires 5 days per week onsite in our clients Cambridge office.
Compiler Engineer - GPU / GPU Architecture / Graphics / Performance Optimization employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compiler Engineer - GPU / GPU Architecture / Graphics / Performance Optimization
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GPU technology. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GPU architecture or compiler development. This could be anything from simulations to performance optimisations. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of GPU architecture and performance optimisation techniques. Practice coding challenges and be ready to discuss your past experiences in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that CV polished and hit that apply button!
We think you need these skills to ace Compiler Engineer - GPU / GPU Architecture / Graphics / Performance Optimization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in GPU architecture and compiler 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 passionate about GPU technology and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: When detailing your experience, focus on specific tools and methodologies you've used in performance optimization and debugging. We’re keen to know how you’ve tackled challenges in past projects, so give us the juicy details!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and you’re good to go!
How to prepare for a job interview at European Tech Recruit
✨Know Your GPU Stuff
Make sure you brush up on your GPU architecture and performance optimisation techniques. Be ready to discuss specific projects where you've applied this knowledge, as it shows you're not just familiar with the theory but have practical experience too.
✨Show Off Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you guided implementation or aligned technical goals with product requirements.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around compiler and driver software development. Brush up on common industry tools and methodologies used for testing and debugging graphics functionality, and be ready to explain your thought process.
✨Document Your Achievements
Have a few examples of your work ready to discuss, particularly those that involve writing technical documentation or feature descriptions. This will demonstrate your ability to communicate complex ideas clearly, which is crucial for supporting GPU software usage.
