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Apple SoC Machine Learning Design Engineer United States, California, Cupertino 460821828
21.04.2025
- Practical experience and knowledge of generative AI and modern machine learning methods, particularly deep neural networks and reinforcement learning- Solid math background and understanding of algorithms and data structures- Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX- Experience with hardware description languages like Verilog, SystemVerilog or VHDL- Strong communication and collaboration skills, with the ability to work efficiently in cross-functional teams- Master's or PhD with relevant publications preferred but not required
- Minimum of BS + 10 years relevant industry experience.
- As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.
- Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip-design process.
- You’ll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts.
- You will collaborate closely with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and tailor machine learning solutions to these domains.
- As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state-of-the-art.
- Prior leadership experience a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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