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Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI

Washington, United States (On-site)

Senior Software Engineering Manager, AI/ML GenAI, Google Cloud AI

1 Month ago • 8-15 Years • Artificial Intelligence

About the job

8 skills required for this role

Test your skills to join the top 1% applicants for this job

java

javascript

cpp

computer-vision

python

model-deployment

budget-management

networking

Job Description

As a Senior Software Engineering Manager at Google Cloud AI, you will be responsible for leading a team of engineers in the development and deployment of state-of-the-art Generative AI solutions. You will set and communicate team priorities, align strategy, and ensure that the team is meeting the broader organization's goals. You will also be responsible for developing the long-term technical vision and roadmap for the team, and for overseeing systems designs and code reviews. You will have a strong understanding of GenAI techniques, including LLMs, Multi-Modal, and Large Vision Models, and will have experience with GenAI-related concepts such as language modeling and computer vision. You will also have experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure. You will be a highly motivated and results-oriented individual with a passion for technology and a desire to make a real impact on the world.

Must have:

Bachelor's degree or equivalent practical experience
8 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
5 years of experience in a technical leadership role
5 years of experience in a people management role
5 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision)
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure

Good to have:

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

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

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 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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $237,000-$337,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US 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 vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions.

View Full Job Description

$237.0K - $337.0K/yr (Outscal est.)

$287.0K/yr avg.

Kirkland, Washington, United States

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About The Company

Google

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