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- Tasks: Analyse and optimise GPU performance for Apple’s next-gen products.
- Company: Join Apple’s innovative Silicon Technologies group.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Make a real impact on the performance of beloved Apple devices.
- Qualifications: Knowledge of SoC components and strong data analysis skills required.
- 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 employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Analysis Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Apple or similar companies. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills related to GPU performance analysis and be ready to discuss your past projects. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Show off your passion! When you get the chance to chat with potential employers, let them know why you love working with GPUs and performance analysis. Your enthusiasm can set you apart from other candidates.
✨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’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Performance Analysis Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Performance Analysis Engineer role. Highlight your experience with GPU architecture and performance analysis, and don’t forget to mention any relevant projects or tools you've worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about performance analysis and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description. We love seeing genuine enthusiasm!
Show Off Your Skills: In your application, make sure to showcase your strong data analysis skills and any programming languages you know, like Python or C++. We want to see how you can relate performance data to hardware architecture. Don’t hold back on your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll get to see all the other amazing opportunities we have 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. Familiarise yourself with the latest trends in SoC design and be ready to discuss how they relate to the role. This will show that you're not just interested in the job, but that you’re genuinely passionate about the technology.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified performance bottlenecks and proposed solutions. Think about times when you used data analysis to improve system performance. This will demonstrate your ability to think critically and innovate, which is key for this role.
✨Collaboration is Key
Since this role involves working closely with other engineers, be ready to talk about your experience in team settings. Highlight any projects where you collaborated with hardware and software engineers to solve complex problems. This will show that you can communicate effectively and work well in a multi-site team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current challenges or future projects. This not only shows your interest in the role but also gives you a chance to demonstrate your understanding of the industry. It’s a great way to engage with your interviewers and leave a lasting impression.
