Formal Verification - AI/ML Engineer
Apple · Austin, TX · Hardware
About this role
Apple is hiring a mid-level Hardware Engineer in the software engineering function based in Austin, TX. The posting calls out experience with Python, PyTorch, Hugging Face, LLMs.
- Role
- Hardware Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Location
- Austin, TX
- Department
- Hardware
- Posted
- May 4, 2026
More roles at Apple
Job description
from Apple careersApple's Hardware Technologies Formal Verification team is seeking an AI/ML Engineer to work at the intersection of Artificial Intelligence and Formal Verification. In this role, you will explore, prototype, and build AI-powered systems — with a focus on Large Language Models — to augment and transform how formal verification is performed on Apple Silicon. You will work closely with formal verification engineers, design engineers, and EDA tool developers to identify high-impact opportunities and deliver practical, domain-specific AI applications. You will be responsible for: Building domain-specific AI applications that leverage LLMs and other ML techniques to accelerate formal verification workflows — from specification interpretation to property generation, proof debugging, and beyond. Developing and fine-tuning LLM-based systems tailored to hardware verification tasks, including retrieval-augmented generation (RAG) pipelines, agentic tool-use frameworks, and domain-adapted models. Collaborating with formal verification engineers to deeply understand FV methodologies, pain points, and opportunities where AI can meaningfully improve productivity, quality, and coverage. Prototyping novel AI-driven approaches for tasks such as automatic SVA property synthesis, natural-language-to-formal-specification translation, proof strategy recommendation, and intelligent counterexample analysis. Evaluating and integrating emerging AI/ML research into practical, production-quality tools and workflows used by the FV team. Establishing best practices and infrastructure for AI application…