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Apple CAD Automation ML Engineer United States, California, Sunnyvale 177848825
07.04.2025
We seek an engineer with a passion for hardware and strong programming and collaboration skills. You will gain hands-on experience in applying machine learning to circuit design automation and the reuse of custom intellectual property (IP). You will develop innovative pipelines to enable design engineers to efficiently drive and interact with their transistor-level analysis workflows, delivering diverse IPs to our numerous cutting-edge integrated circuits (ICs) in development.In this role, you will acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon IP development, including applications in machine learning (ML) and large language model (LLM) technologies. These LLM applications encompass tasks such as information retrieval, triage, and chatbot development, alongside traditional silicon design areas such as transistor-level extraction, timing analysis, static/dynamic IR analysis, simulations, power EM analysis, signal EM analysis, logic equivalency checks (LEC), and signoff.
In this highly visible role, your primary responsibilities will include:• Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems. Designing and implementing their interaction with our extensive compute infrastructure.• Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets.• Actively involving yourself in supporting various ML and large language model development processes, including understanding input data, troubleshooting output, resolving software challenges that may impact project timelines, and delivering solutions to our internal customers.• Closely collaborating with diverse design teams, including Custom Digital, Analog, Mixed-Signal, and more, to understand their needs and requirements for various ML and large language model applications. Applying advanced techniques to address these requirements across multiple products and reduce duplicate design work. • Working in tandem with other experts in CAD to validate their ML-based applications, implement enhancements, and evaluate external vendor packages and solutions from EDA (Electronic Design Automation) providers and open-source.
- Experience in Python programming
- Experience in programming algorithms
- Minimum requirement of BS
- Day-to-day experience working with the UNIX shell environment and code revision control systems
- Knowledge of basic electrical engineering topics
- Experience leading academic software development projects
- Proficiency in machine learning algorithms, large language models, fine-tuning, retrieval augmented generation, and prompt engineering
- Knowledge of transistor-level electrical engineering and related software tools for circuit analysis, such as simulation, timing, EM/IR, layout, extraction, or power analysis
- Experience in electrical engineering machine learning applications
- Exposure to server management, or parallel computing platforms such as LSF, NC, AWS, etc.
- Experience creating web technologies using React, REST APIs, or equivalent
- Strong communication and presentation skills
- Commitment to excellence and productivity
- Experience in developing large scale software systems in multi-user, multi-site environments as part of a team of developers.
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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