Principal Engineer, AppCatalyst, Core ML
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Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 15 years of professional experience in software engineering, or 13 years with an advanced degree.
- Experience in architecting, designing, building, and shipping software systems from inception to production.
- Experience in the usage of generative AI and the design of agentic AI systems.
Preferred qualifications:
- PhD or Master's degree in Computer Science or a related technical field, specializing in Human-Computer Interaction, Developer Tooling, Full Stack Application Development, or Machine Learning.
- 20 years of experience in software engineering, focused on complex systems, developer tools, or applied AI.
- Experience in technical leadership, defining technical vision, and driving innovation in nascent, ambiguous, and evolving technical domains.
- Experience defining and influencing technical strategy for large engineering organizations, with the ability to align and inspire teams.
- Exceptional coding skills in one or more languages such as C++, Java, Python, or Go, with a passion for writing production-ready code.
About the job
Google’s Core ML team aims to build the state-of-the-art AI platforms, services, and tools behind Google’s AI research and AI-powered products. We are owners of the Google AI framework (e.g., TensorFlow, JAX), AI performance and efficiency, AI training and inference platforms, AI compilers (e.g. XLA), AI software/hardware co-design (e.g. TPU), and AI developer experience (e.g., Model Hub, Eval Hub).
As a Principal Engineer on the AppCatalyst project within Core ML, you will be at the forefront of defining and building Google's future in AI-assisted software development. This role is instrumental in pioneering innovative "vibe-coding" tooling, a cornerstone of our GenAI strategy centered around intelligent Agents. You will address profoundly complex technical challenges, architecting and implementing systems that bridge the gap between natural language intent and functional code.
You will be responsible for driving the technical strategy in this ambiguous and rapidly evolving domain, making high-impact decisions that will shape how developers (both internal and external) build, debug, and deploy GenAI applications. Your work will involve designing for scalability, robustness, and extensibility, ensuring our vibe-coding tools are not just visionary but also practical and impactful. You will leverage your expertise in system design, programming languages, AI/ML, and human-computer interaction to deliver transformative experiences that significantly boost developer productivity and accelerate AI innovation across Google and beyond. You will lead by example, influence across organizational boundaries, and contribute to a key strategic initiative for the company.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Architect, design, and implement foundational components and frameworks for cutting-edge vibe-coding tools and Generative AI Agent systems. Be the leader in developing and maintaining the architecture plan for the AppCatalyst framework.
- Lead and define the technical strategy and long-term roadmap of AI-assisted software development, directly influencing Google's broader Applied ML and Core ML capabilities. Prepare internal presentation documents on how to deliver these impactful first-party solutions with AppCatalyst.
- Solve complex, ambiguous, and novel technical challenges related to understanding developer intent, reliable code generation, human-AI interaction paradigms for coding, and the integration of large language models into developer workflows. Help to integrate the AppCatalyst functionality into solutions co-developed with partner teams inside Google.
- Collaborate with Research, Product Management, and Engineering teams across Google to translate visionary concepts into scalable solutions.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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