mid software engineering Hardware Engineer ic 3+ yrs Bachelor's · Posted Dec 23, 2025

Skills

CUDA LLMs System Design Machine Learning Backend Development

About this role

Apple is hiring a mid-level Hardware Engineer in the software engineering function based in Haifa, Israel. The posting calls out experience with CUDA, LLMs, System Design, Machine Learning and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role: Hardware Engineer
Function: software engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Haifa, Israel
Experience: 3+ years
Education: Bachelor's degree
Department: Hardware
Posted: Dec 23, 2025

AI Summary

Design and build automated GenAI systems for Apple's hardware and silicon teams to accelerate chip design. Requires 3+ years backend development with LLM/vector database production experience, strong system design skills, and ability to implement robust agent systems. Ideal candidate bridges hardware and software domains with optimization problem-solving expertise.

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Job description

from Apple careers

As a member of our multidisciplinary team, you will design and build automated, agentic GenAI systems
that Apple's hardware and silicon teams use to accelerate and manage chip design complexities. We are
looking for an engineer with strong backend development skills, applied ML experience, and a passion for
solving challenging optimization problems. Success in this role means fundamentally shaping how Apple's
silicon teams interact with design infrastructure, driving the next generation of hardware innovation.
You will join a growing team of ML and software engineers developing GenAI projects tailored for physical
hardware design domains.
<h3>Minimum Qualifications</h3>3+ years of backend software engineering experience, including hands-on experience deploying LLMs,
foundation models, or vector databases in production.
Strong object-oriented programming and system design skills.
Ability to translate computational, numerical, and optimization problems into highly efficient code.
Experience designing and implementing robust agent systems and complex execution flows.
Excellent communication and collaboration skills to bridge hardware and software domains.
BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
<h3>Preferred Qualifications</h3>Preferred: Hands-on experience with stateful, multi-turn agentic frameworks.
Preferred: Familiarity with hardware or silicon design domains.
Preferred: Experience writing kernels for accelerated, compute-intensive workloads (e.g., CUDA, Triton,
Metal).