AI/ML Engineer - Chip Design

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AI/ML Engineer - Chip Design

Herzliya, Tel Aviv District, IsraelMachine Learning and AI

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Join our multidisciplinary team to build agentic GenAI systems, foundation models, and optimization algorithms that accelerate Apple's chip design. We need an AI/ML Engineer who spans the modern AI stack, from high-level reasoning to low-level compute, to fundamentally shape how our silicon teams operate. This role is ideal for a hands-on technical leader who takes novel research to production deployment and thrives at the intersection of ambiguity, scale, and cutting-edge innovation.

You will join a growing team of ML and software engineers developing state-of-the-art AI systems tailored for physical hardware design domains. In this role, you will have the opportunity to: ● Design and build advanced AI agents featuring multi-agent workflows, search and planning algorithms, self-reflection loops, and tool-calling architectures to automate chip design workflows. ● Train, adapt, and scale modern deep learning and GenAI architectures, including transformers, multimodal models, and hybrid generative backbones to solve complex domain-specific tasks. ● Solve challenging numerical optimization problems by writing high-performance custom primitives(e.g., CUDA, Triton, Metal) to make previously impossible experiments computationally viable. ● Partner with hardware and software teams across Apple, translating theoretical ideas and silicon design requirements into actionable engineering tasks.

• BSc, MSc, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related fields.

• 5+ years of applied ML/AI industry experience deploying LLMs, foundation models, or complex ML systems in production.

• Strong mathematical foundation in linear algebra, probability and statistics.

• Track record as a rapid prototyper who defends hypotheses with empirical data and pivots instantly.

• Exceptional programming skills in Python and deep expertise in modern deep learning frameworks (e.g.,PyTorch, JAX).

• Excellent communication and collaboration skills to successfully bridge the hardware and software domains.

• Proficiency in C/C++ and GPU microarchitectures, with hands-on CUDA/Triton development experience.

• Experience building stateful, multi-turn agentic frameworks and complex execution flows.

• Track record of training large-scale models across distributed clusters (including exploration of non-attention architectures).

• Familiarity with Physical Design, EDA, or silicon design environments.

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.

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