Google is looking to hire a Software Engineering Manager to provide technical leadership to major projects, manage a team of engineers, optimize code, contribute to product strategy, and develop their team. The role involves managing engineers across multiple teams and locations, overseeing a large product budget, and deploying large-scale projects internationally.
Requirements
- 8 years of experience in software development.
- 2 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.
- 2 years of experience leading ML design or optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design.
Responsibilities
- Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
- Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
- Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s).
- Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Optimize your own code and ensure Engineers are able to optimize theirs.
- Take on and provide technical leadership to major projects.
Other
- 2 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
- Set and communicate team priorities that support the broader organization's goals.
- Align strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals.
- Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
