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- Tasks: Analyse and optimise GPU performance for Apple’s next-gen processors.
- Company: Join Apple, a leader in innovative technology and design.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Make a real impact on products loved by millions worldwide.
- Qualifications: Knowledge of SoC components, strong debugging, and data analysis skills.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you will be crafting and building the technology that fuels Apple's devices. Together, we enable our customers to do all the things they love with their devices.
In this role, you will be responsible for performance analysis and tuning of the GPU as used in a variety of Apple products. As a member of the Performance Analysis team, you will collaborate closely with other GPU Design and Software Engineers to analyse and improve the performance of Apple's GPUs. GPU performance analysis includes all levels of its stack: architecture, micro-architecture, logic design, compiler, driver, and applications. The team innovates to rapidly develop new ways of analysing data and visualisation techniques to aid in the analysis of performance data. You will not only be responsible for providing results but also understanding the performance and proposing potential optimisations. This is a high-visibility role with opportunity to influence performance across the GPU and have far reaching impact for a variety of Apple products.
Responsibilities
- Developing performance test plans to validate GPU performance
- Analysing performance issues using micro benches and real-life content (games, pro-apps etc) to identify hardware and software problems
- Interacting with architecture, software and hardware engineers to identify bottlenecks and propose novel solutions for improved GPU performance
- Developing studies to understand and quantify the performance benefit of features and algorithms implemented in hardware and software
- Developing tools to aid in the efficient measurement, communication and improvement of GPU performance
Minimum Qualifications
- Architecture knowledge of at least one of the main SoC components (GPU, CPU, Interconnect & Memory hierarchy)
- Strong hardware and software debug skills
- Strong data analysis skills: able to relate performance data to HW architecture and behaviour
- Knowledge of Python and/or C++
- Ability to work well in a multi-site team, capable of planning your own tasks, estimating deadlines and meeting schedules
- Excellent communication skills, self-motivated and well organized
Preferred Qualifications
- Previous experience in performance analysis of complex systems and understanding trade-offs
- Experience in GPU architecture
- Experience with SystemVerilog and simulation/emulation tools
At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Performance Analysis Engineer in London employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Analysis Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Apple. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio or GitHub repository showcasing your projects related to GPU performance analysis. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of SoC components and performance analysis techniques. Practice common interview questions and be ready to discuss your thought process when solving problems.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Apple.
We think you need these skills to ace Performance Analysis Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU performance analysis and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Performance Analysis Engineer role. Share your passion for technology and how your background makes you a great candidate. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your knowledge of Python, C++, and any experience with SystemVerilog. We love seeing candidates who can demonstrate their technical prowess, so include specific examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Apple
✨Know Your Stuff
Make sure you brush up on your knowledge of GPU architecture and performance analysis. Be ready to discuss specific examples from your past experiences where you've tackled performance issues or optimised systems. This shows you're not just familiar with the theory but have practical skills too.
✨Show Off Your Data Skills
Since data analysis is key for this role, prepare to demonstrate your ability to relate performance data to hardware architecture. Bring along examples of how you've used Python or C++ in your previous projects to analyse performance metrics. This will highlight your technical prowess.
✨Collaboration is Key
This role involves working closely with various teams, so be ready to talk about your experience in multi-site collaborations. Share examples of how you've effectively communicated with hardware and software engineers to identify bottlenecks and propose solutions. It’s all about teamwork!
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current challenges or recent projects. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your understanding of the industry and the specific technologies involved.
