Software Engineering Manager, Cloud Machine Learning Compute Services Full-time

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms.
• 3 years of experience in people management.
• Experience deploying and managing cluster environments.

Preferred qualifications:

• Experience contributing to open-source communities and managing open-source projects.
• Knowledge of the high-performance compute and Machine Learning landscape, with experience supporting top AI/ML/HPC customers.
• Demonstrated success in recruiting and leading high-performing engineering teams focused on building large-scale systems and tooling.
• Understanding of cloud computing platforms and technologies, such as Google Cloud Platform (GCP).

About the job

Like Google’s own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started — and as a manager, you guide the way.

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.

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.

Responsibilities

• Define and execute the technical strategy for a new, autonomous AI/ML product, catering to the needs of large-scale technical and scientific customers.
• Design and develop scalable tools and services with incremental milestones, enabling rapid iteration to support new AI/ML models entering the market.
• Utilize expertise in deploying and managing cluster environments, offering informed recommendations on orchestrators like SLURM or GKE to optimize performance for top AI/ML/HPC customers
• Partner with teams across CMCS (Core ML, GCE, GKE, NetInfra, etc.) and US counterparts to align technical designs, ensuring long-term feasibility and maintainability of solutions.
• Recruit and mentor a high-performing team of software engineers passionate about building large-scale systems. Actively contribute to the open-source community, manage repositories, and foster a thriving internal and external community around the product.