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Formal Verification - AI/ML Engineer

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Cupertino, California, United States, Austin, Texas, United States$184.7k - $324.8kPosted 5mo ago

About the role

AI/ML Engineer focused on applying AI/ML (primarily LLMs) to formal verification of Apple Silicon. Responsibilities include building domain-specific AI applications, developing and fine-tuning LLM-based systems, prototyping AI-driven approaches for verification tasks, and integrating AI/ML research into production tools and workflows within the Formal Verification (FV) organization.

Responsibilities

  • 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 development within the FV organization.

Qualifications

  • A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience.
  • Strong hands-on experience building AI/ML applications, particularly those leveraging Large Language Models (LLMs) — including prompt engineering, fine-tuning, RAG architectures, agentic systems, or LLM-based tool chains.
  • Demonstrated ability to take AI capabilities from prototype to production — you have shipped or deployed AI-powered tools or applications, not just trained models.
  • Proficiency in Python and modern ML/AI frameworks and tooling (e.g., PyTorch, LangChain, LlamaIndex, Hugging Face, or similar).
  • Background in formal methods, mathematical logic, or a strong mathematical foundation — formal methods, type theory, automated reasoning, mathematical logic, or applied experience.
  • Genuine interest in domain-specific AI applications.
  • Software engineering best practices — version control, testing, API design, and maintainable codebases.
  • Excellent communication and interpersonal skills.
  • Self-directed and comfortable with ambiguity.
  • Experience working on or contributing to LLM tooling, frameworks, or infrastructure (e.g., inference engines, model serving, evaluation harnesses).
  • Prior exposure to hardware design or verification concepts (RTL, SystemVerilog, assertions, EDA tools).
  • Familiarity with formal methods, SAT/SMT solvers, model checking, or theorem proving.
  • Experience with code generation or analysis tasks using LLMs.
  • MS or PhD in Computer Science, Electrical Engineering, Mathematics, or related field — exceptional industry experience also valued.

Skills

Required:Large Language Models (LLMs)PythonML frameworks and toolingFormal methods / mathematical logicSoftware engineering practicesCommunication and collaboration
Nice to have:Hardware verification conceptsCode generation / analysis with LLMs

Benefits

  • Base pay range between $184,700 and $324,800 (base pay depends on skills, qualifications, experience, and location).
  • Discretionary employee stock programs (stock options, restricted stock unit awards).
  • Apple Employee Stock Purchase Plan (discounted stock).
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Educational expense reimbursement (tuition).
  • Potential discretionary bonuses or commission payments and relocation.
Last updated Jul 10, 2026. Interested? Apply on the company site.

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