At a Glance
- Tasks: Design and develop cutting-edge software simulators for GPUs.
- Company: Join Apple, a leader in innovation and technology.
- Benefits: Enjoy flexible working options and exciting corporate perks.
- Why this job: Be part of a dynamic team shaping the future of graphics technology.
- Qualifications: Proficiency in C/C++ and Python, with knowledge of operating systems and computer architecture.
- Other info: Ideal for tech-savvy students eager to make an impact in the tech world.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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 produces. Leverage parallel, concurrent and multi-threading knowledge to ensure the best performance possible of the simulator. Understand new design specification 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. Python programming language to write and maintain automation scripts for continuous integration testing and code auto-generation.
Responsibilities
- Design and develop software simulators for GPUs
- Build high-performance functional simulators of GPU designs
- Investigate functional correctness issues and simulation performance bottlenecks
- Implement and debug binary translation
- Implement efficient GPU memory management unit
- Use Python to write and maintain automation scripts for CI testing and code generation
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
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Early Careers GPU Modeling Engineer New employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Early Careers GPU Modeling Engineer New
✨Tip Number 1
Familiarise yourself with the latest advancements in GPU architecture and design. Understanding the nuances of x86, ARM, and RISC-V architectures will give you a competitive edge during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in writing automation scripts. Consider working on personal projects that involve continuous integration testing to showcase your practical experience.
✨Tip Number 3
Engage with online communities or forums focused on GPU programming and simulation. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with multi-threading and parallel programming. Be ready to explain how you've tackled performance bottlenecks in past projects, as this is crucial for the role.
We think you need these skills to ace Early Careers GPU Modeling Engineer New
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C, C++, and Python, as well as any relevant projects involving GPU design or simulation. Emphasise your knowledge of operating systems and computer architecture.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about GPU technology and how your skills align with the role. Mention specific experiences that demonstrate your ability to tackle functional correctness issues and performance bottlenecks.
Showcase Relevant Projects: If you've worked on any projects related to parallel programming, multi-threading, or automation scripts, be sure to include these in your application. Detail your contributions and the technologies you used.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role like this.
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 Apple’s GPU technologies and products. Familiarise yourself with their architecture and how your role as a GPU Modeling Engineer can contribute to performance improvements. This knowledge will show your genuine interest in the company and its innovations.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to troubleshoot functional correctness issues and simulation performance bottlenecks. Practice explaining your thought process clearly and logically, as this will be crucial in demonstrating your problem-solving skills.
✨Demonstrate Collaboration Skills
Since the role involves bridging software and hardware, be ready to discuss experiences where you collaborated with cross-functional teams. Emphasise your communication skills and how you’ve successfully worked with others to achieve common goals.