Engineering Manager, Borglet Machine Learning

Google
Sunnyvale, CA, USA

About the job

As a part of the Borglet ML, you will play a critical role in Google’s internal infrastructure, new Cloud and ML business by managing fastest-growing resources. You will join a growing team making impactful contributions to Google's infrastructure and developing what is likely the most sophisticated cluster management system in the world. In this role, you will manage a team of Software Engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware while driving the team's technical charter and contributing as their team lead/manager, collaborating with partner teams as well as users across Google.

Responsibilities

Set and communicate team priorities that support the broader organization's goals, aligning strategy, processes, and decision-making across teams.

Establish clear expectations with individuals based on their level and role and aligned to the broader organization's goals, and meet regularly with them to discuss performance, development, provide feedback and coaching.

Develop the mid-term technical goal and roadmap for your team(s), evolving it to anticipate future requirements and infrastructure needs.

Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Qualifications

Minimum

Bachelor’s degree, or equivalent practical experience.

8 years of experience in software development.

3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

3 years of experience in a technical leadership role.

2 years of experience in a people management or team leadership role.

Preferred

Experience with system software, distributed systems, and complex multi-component software systems.

Experience in developing and releasing system software products and C/C++ programming skills.

Familiarity with the Linux kernel interface, containers, passion for reliability, efficiency, and scale.

An understanding of key concepts of performance analysis and tuning.

Basic data analysis and SQL skills are valuable as well.