Software Engineering Manager, Google Cloud, Machine Learning Infrastructure

Google Cloud is seeking a Software Engineering Manager for their Machine Learning Infrastructure team. This role involves leading and managing a team of engineers working on Borg, Google's scheduling infrastructure for throughput-oriented workloads, including ML. The position requires both technical expertise and leadership skills to oversee projects, contribute to product strategy, and develop the team.

Key responsibilities include:

1. Setting team priorities aligned with organizational goals
2. Managing performance and development of team members
3. Developing mid-term technical goals and roadmaps
4. Designing and guiding system designs
5. Reviewing code and ensuring best practices

The ideal candidate will have:

• A Bachelor's degree or equivalent experience (Master's or PhD preferred)
• 8+ years of software development experience
• 3+ years in a technical leadership role
• 2+ years in people management
• Experience with system software development and distributed systems
• Strong understanding of software engineering practices

This role offers the opportunity to work on cutting-edge technology that powers Google's ML offerings and Google Cloud services. The position comes with a competitive salary range, bonus, equity, and benefits.

Google is committed to diversity, equality, and creating a culture of belonging. They welcome applications from all backgrounds and provide accommodations for applicants when needed.