> Markdown version of [/jobs/ext/2583926-engineering-manager-core-hydra-infrastructure-and-ml](https://www.wearedevelopers.com/jobs/ext/2583926-engineering-manager-core-hydra-infrastructure-and-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager, Core Hydra Infrastructure and ML - **Company:** Google LLC - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, C++ (Programming Language), Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, Data Storage Technologies, Information Technology, Machine Learning Operations - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a64c9b7300f7f8e0 ## About the Role * Bachelor's degree, or equivalent practical experience. * 8 years of experience in software development. * 2 years of experience in a people management or team leadership role. * Experience with C++, Python, or g3python. * Experience with Machine Learning. * Experience with customer engagement, software engineering, and software architecture., * Master's degree or PhD in Computer Science or a related technical field. * 3 years of experience working in a complex, matrixed organization. * Experience working directly with ML research teams and understanding their workflows. * Deep expertise in building and operating large-scale ML infrastructure, particularly data storage and processing systems. ## Description With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training., * Lead, mentor, and develop a distributed team of executive software engineers, fostering a collaborative and high-performance culture. * Define and drive the team's technical goal, strategy, and roadmap for Hydra, exercising strong technical judgment in line with Core AI Foundations' goals. * Participate in and guide architectural and design decisions for a scalable and reliable post-training data storage and management system. * Manage project priorities and resources effectively, ensuring timely delivery of high-quality solutions in a changing, ambiguous environment. * Cultivate strong relationships and collaborate effectively with key stakeholders, including GDM, Core ML, and a set of user teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)