Senior Software/Computer Engineer - AI assisted iPhone Electrical Engineering and System Integration

Are you passioned about software and hardware integration? Are you excited about using AI and ML models to drive innovation? Apple products might be one of the reasons you wanted to become an engineer. Now, imagine yourself as a key member of the team designing future Apple products. The iPhone team is looking for engineers who are driven by the opportunity to take on big challenges. Engineers, who like to immerse themselves in systems hardware design and harnessing AI/ML to automate and elevate it, creating magic in the palm of their hand on a device that will affect millions of iPhone users. Our team is seeking a senior AI/ML Engineer to revolutionize electrical engineering and system integration design. You will develop and deploy AI models, building platforms and tools that enhance the engineering design processes. You will partner with other AI tool development initiatives inside Apple. You will organize, evangelize, and teach their use within the iPhone System EE organization. Ideal candidates possess a deep understanding of machine learning techniques and electrical engineering principles. Experience with Python, PyTorch, LabVIEW, TensorFlow, and hardware design, validation is essential. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale. Our team is collaborative, creative and passionate about what we do and the products we make. We want to hear from you! - Design, develop, and deploy applications and tools for hardware development process and life cycle, with focus on System Integration and Electrical Engineering - Utilize and integrate machine learning models for use in EDA and hardware development workflows. - Extract, clean, and structure complex design data (e.g. Simulation results, learnings from past programs) for use in ML pipelines. - Build smart assistants to support design creation automation, design analysis and optimization, new product development data analysis, triage and failure analysis and more. - Collaborate with hardware engineers to understand pain points and translate them into intelligent tooling. - Evaluate and integrate AI/ML frameworks into existing design toolchains. - Be liaison to other hardware engineering and company wide AI/ML efforts - Organize available tools and train staff on their use - Streamline Validation: Automate Testing workflow, from specs to templates to measurements and analyzing results