Firmware Engineer - Apple Neural Engine -

Apple Inc
Haar, Germany
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
€56,500.0 - €79,000.0
Working hours
Regular working hours
Job source

Tech stack

Abstraction Layers Artificial Intelligence Apple Products Computing Platforms Artificial Neural Networks C++ (Programming Language) Software Quality Computer Programming Firmware Hardware Interface Design Machine Learning Real-Time Operating Systems
+3 more
Graphics Processing Unit (GPU) Information Technology Bare Metal

Job description

Apple Neural Engine (ANE) team is looking for an experienced embedded firmware engineer to develop and maintain low-level firmware for ANE, a specialized hardware accelerator for machine learning workloads. This role involves working on real-time operating systems, hardware abstraction layers, and complex scheduling systems for AI/ML inference acceleration. As part of the firmware team, you will be involved in a creative and collaborative environment, and have the chance to tackle complex challenges to deliver features across iconic Apple products like the Vision Pro, iPhone, iPad, Mac and more., Design and implement firmware for neural network accelerator hardware (ANE) in Apple SoCs, with focus on scalability and efficiency - Collaborate with cross-functional teams, including platform architecture and driver, to bring new hardware silicon to market - Design and implement firmware to deliver next-gen features for Apple products, including requirements and specifications definitions with other teams - Cultivate a culture of learning and collaboration, encouraging innovation across the organization

Requirements

  • Bachelor’s in Computer Science, Electrical Engineering, or related field, and 10+ years of related industry experience (e.g. embedded firmware development experience)
  • Strong C/C++ programming skills in resource-constrained environments
  • Experience with RTOS and bare-metal programming
  • Understanding of computer architecture and hardware interfaces, * Master’s or PhD in Computer Science, Electrical Engineering, or related field
  • Experience with neural network accelerators or GPUs and knowledge of machine learning inference optimization
  • Background in power management for embedded systems
  • Experience with SoC bringup
  • Attention to detail and code quality
  • Self-motivated with excellent communication skills

About the company

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. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong., Apple Inc

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