Software Engineering Manager, Applied AI

Job description

Software Engineering Manager, Applied AI

_corporate_fare_ Google _place_ Bengaluru, Karnataka, India

**Advanced**

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

**Minimum qualifications:**

+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience with software development in one or more programming languages.
+ 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging).
+ 5 years of experience with ML infrastructure, applied ML/AI algorithms, LLMs/multimodal foundation models, and NLP and working with C++/ Python.
+ 5 years of experience with Speech/audio, reinforcement learning, ML infrastructure or specializing in another ML field.

**Preferred qualifications:**

+ 8 years of experience with data structure/algorithms.
+ 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
+ 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
+ Experience with the whole web stack, including protocols, and web server optimization techniques.
+ Experience with large-scale system design, artificial intelligence, or machine learning.

**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.

In this role, you will lead the development of cutting-edge conversational AI, enabling developers to build generative AI agents that can engage in complex, open-ended dialogues & completing autonomous tasks.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

**Responsibilities**

+ Lead a team of 8 to 10 Engineers.
+ Design, code, and deploy high-quality software at an accelerated pace.

Create rapid prototypes and iterate quickly based on feedback.
+ Explore and implement new AI/ML technologies.
+ Work closely with a small, experienced team.

Engage in design and code reviews to ensure best practices and foster a culture of continuous improvement.
+ Design and implement solutions in specialized ML areas and leveraging ML infrastructure.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Required Skill Profession

Other General