Job Description
Minimum qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field or equivalent practical experience, 8 years of experience in managing and leading software engineering teams with AI/ML, Preferred qualifications:
7 years of experience in software development with AI/ML applications, Experience in the development and deployment of AI/ML systems with HR data, 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 Human Resources Engineering (HRE) team at Google is dedicated to building technology solutions that empower Google's global workforce
We leverage the power of data and AI/ML to optimize Human Resources (HR) processes, enhance employee experiences, and drive organizational efficiency, In this role, you will be applying Artificial Intelligence (AI) to solve tests within a fluid domain, At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone
As Googles IT organization, we provide end-to-end solutions for organizations across Google
We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone
In the simplest terms, we are Google for Googlers, Responsibilities
Provide technical leadership and direction for a significant portion of the AI Software Engineering organization aligning with HRE and Artificial Intelligence/Machine Learning (AI/ML) strategies, Manage and mentor a team of Engineering Managers (EMs) or lead teams of AI Software Engineers, promoting a collaborative environment, Drive the technical strategy for major AI/ML initiatives within HRE, ensuring scalability, reliability, security, and maintainability of our systems, Collaborate with executive product leaders and HR stakeholders to define product roadmaps, influence direction, and translate business objectives into AI/ML solutions, Oversee the design, development, and deployment of AI/ML systems and infrastructure related to HR applications (e-g
, talent acquisition, performance management, employee experience, workforce planning, compensation and benefits), 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 Google's EEO Policy and EEO is the Law
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form,
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Engineering Manager
Employement Type: Full time
Contact Details:
Company: Google
Location(s): Hyderabad
Keyskills:
leadership
engineering management
artificial intelligence
scalability