Senior Software Engineering Manager, ML Infrastructure, Core Infra

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Waterloo, ON
Permanent
Full-time

5 days ago

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with software development.

7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience in a technical leadership role.
5 years of experience in a people management or team leadership role.
2 years of experience with GenAI techniques (e.g., LLMs, Multimodal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience working in a complex, matrixed organization.

About the jobLike 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.The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.The Canada base salary range for this full-time position is CAD 260,000-267,000 + 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.Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .Responsibilities

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.

Develop the long-term technical outlook and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.

Contribute production-quality code and drive system design as a Tech Lead Manager (TLM), balancing technical execution with people management and strategic leadership for GenAI-focused projects of considerable scope and magnitude.
Oversee system designs and review code within the broader area to solve ambiguous problems, ensuring best practices in accuracy, testability, and efficiency.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a disability or special need that requires accommodation, please let us know by completing our .

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