About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
We are building the ML infrastructure between top-level frameworks and hardware as a platform and operating system for ML programs. Our mission is to ensure end-to-end training and inference success for Google and the world through cost-effective and performant software stacks across hardware, frameworks, and model types.

In this role, your goal will be to enable internal and Cloud developers to innovate through the effortless, transparent use of high-functioning ML infrastructure, allowing them to focus their energy on forward-reaching achievements and the advancement of the field.

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 $207,000-$300,000 + 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

• Innovate next directions for infrastructure over a 12-month time horizon, given a rapidly changing technology landscape.

• Drive technical strategy and roadmaps for infrastructure development.

• Identify and build stable, standardized Application Programming Interfaces (APIs) for internal products.

• Migrate existing frameworks (e.g., Tensor Flow, JAX, Py Torch), runtimes (TFExecutor, TFRT, PJRT), and Product Area’s (PA) custom workflows (Ad Brain) onto ML Runtime, minimizing any user disruption.

• Partner with Global Delivery Model (GDM) to transfer key innovations into products developed by your team and partner teams.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

• Experience in ML compilers and runtimes.

• Experience with Tensor Processing Units (TPUs), TPU system design, and Graphics Processing Units (GPUs).