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For Companies At a Glance
- Tasks: Design and develop software simulators for cutting-edge GPUs.
- Company: Join Apple, a leader in innovation and technology.
- Benefits: Enjoy flexible work options and exciting corporate perks.
- Why this job: Make an impact on performance improvements and programming ease in a dynamic environment.
- Qualifications: Proficiency in C/C++ and Python, with knowledge of Linux and MacOS required.
- Other info: Ideal for tech enthusiasts passionate about hardware-software integration.
The predicted salary is between 36000 - 60000 £ per year.
Design and develop software simulators for Graphics Processing Units. Build high-performance functional simulators of advanced Graphics Processing Unit (GPU) designs to help bridge the gap between software and hardware, influencing performance improvements and the programming ease of Apple products.
Leverage parallel, concurrent and multi-threading knowledge to ensure the best performance possible of the simulator. Understand new design specifications and propose software modeling approaches. Investigate functional correctness issues and simulation performance bottlenecks. Implement and debug binary translation. Implement high-efficient GPU memory management unit. Use Python programming language to write and maintain automation scripts for continuous integration testing and code auto-generation.
Minimum Qualifications- C or C++ programming and Python scripting skills
- Low level operating systems including Linux and MacOS, system calls, file and memory management (page table, virtual address translation, thread management and schedulers)
- Computer architecture (x86, ARM and RISC-V), hardware and software co-design
- Parallel and concurrent multi-threading programming, shared-data parallelism, and non-shared-data parallelism
GPU Modeling Engineer employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GPU Modeling Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in GPU architecture and performance optimisation techniques. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to GPU development and simulation. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Consider contributing to open-source projects that focus on GPU simulation or related technologies. This hands-on experience can enhance your skills and make your application stand out.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges specifically in C, C++, and Python. Focus on problems that involve multi-threading and memory management to align with the job requirements.
We think you need these skills to ace GPU Modeling Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C or C++ programming, Python scripting, and any relevant knowledge of low-level operating systems like Linux and MacOS. Emphasise your understanding of system calls and memory management.
Craft a Strong Cover Letter: In your cover letter, express your passion for GPU design and simulation. Mention specific projects or experiences that demonstrate your skills in parallel and concurrent programming, as well as your ability to tackle performance bottlenecks.
Showcase Relevant Projects: If you have worked on any projects related to computer architecture or hardware-software co-design, be sure to include these in your application. Detail your role and the technologies you used, especially if they relate to x86, ARM, or RISC-V architectures.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your technical terminology is accurate. A polished application reflects your attention to detail.
How to prepare for a job interview at Apple Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C, C++, and Python. Highlight specific projects where you've implemented low-level operating systems or worked on GPU designs. This will demonstrate your technical proficiency and relevance to the role.
✨Understand the Company’s Products
Research the company's products, especially those related to graphics processing. Understanding how your role as a GPU Modeling Engineer fits into their overall mission will show your enthusiasm and commitment to contributing to their success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly around functional correctness and performance bottlenecks. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to tackle complex issues.
✨Demonstrate Collaboration Skills
Since the role involves bridging software and hardware, be ready to discuss experiences where you collaborated with cross-functional teams. Emphasising your teamwork skills will highlight your ability to work effectively in a dynamic environment.
