Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with teams developing ML frameworks, compilers, and hardware, ensuring seamless integration and end-to-end performance.
- Contribute to a runtime that supports the latest advancements in ML, working at the intersection of systems software and AI research.
- Engage with complex problems in distributed systems, high-performance computing, and software/hardware co-design.
- Work closely with research and product teams across Google, understanding their needs and providing a scalable platform for their ambitious ML projects.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience programming in C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience with ML compilers and runtimes.
- Experience with low-level programming.
- Experience with high-performance computing.