Google Careers Opportunities for Graduate Entry Level role | 0.6 - 6 yrs

Google Careers Opportunities for Graduate Entry Level role | 0.6 – 6 yrs

Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. Graduate Job opportunities at Google.

Google Internship 2024, Google Careers Opportunities for Graduate Entry Level role, Google Jobs Openings in India, Google Jobs Vacancies for Entry Level Graduate, Google Recruitment 2024, Google Graduate Program 2024

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology’s greatest challenges and make an impact on millions, if not billions, of users.

Google Careers Opportunities for Graduate in 2024

Software Engineer, Core – India 

Location: Hyderabad, Telangana, India; Bangalore, Karnataka, India.

Job Description:

We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day

Job Responsibilities:

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred:

Master’s degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.

For more details to apply, Click here!

Software Engineer II, Infrastructure, Core – Brazil

Job Responsibilities:

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
Ability to communicate in English fluently.

Preferred:

Master’s degree or PhD in Computer Science or related technical field.
1 year of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
Experience developing accessible technologies.

For more details to apply, Click here!

New Business Sales Executive – Ireland

Qualifications:

Bachelor’s degree or equivalent practical experience
Experience in new business sales and exceeding quota attainment
Ability to communicate in English and Hebrew fluently

Preferred:

Experience in building a pipeline from scratch through strategic and tactical focus and execution
Knowledge of the local market with insights into both digital and traditional media
Demonstrated understanding of the online advertising industry
Ability to collaborate with cross-functional teams to develop a working strategy
Independent, comfortable with ambiguity, and ability to thrive in a team environment

Job Responsibilities:

Manage the whole business cycle for the new business acquisition from early stages, to closing the customers, and managing the relationship after closure to ensure the customer satisfaction, performance, and upsell opportunities.
Prospect and build a robust pipeline of new business by proactively identifying and initiating relationships with new clients, working closely with our Sales Development, Onboarding, Agency, and Marketing teams.
Acquire business agreements through outbound prospecting, cold calling, consulting, educating, pitching, closing, and relationship management.
Consult with clients to achieve domestic and export online marketing and business goals utilizing the full suite of Google’s marketing solutions (i.e., YouTube, Google Search and Shopping, Google Display Network, App Promotion).
Design marketing strategies using product expertise to drive long-­term success for our customers.

For more details to apply, Click here!

RTL Design Engineer – India

Qualifications:

Bachelor’s degree in Electrical Engineering, Computer Engineering, or equivalent practical experience
2 years of experience with RTL design using Verilog/System Verilog and microarchitecture
Experience with ARM-based SoCs, interconnects and ASIC methodology

Preferred:

Master’s degree in Electrical/Computer Engineering
3 years of experience with IP design for clocking, interconnects, peripherals
Experience with methodologies for low power estimation, timing closure, synthesis
Experience with methodologies for RTL quality checks (e.g., Lint, CDC, RDC)

Job Responsibilities:

Define the block level design document (i.e., interface protocol, block diagram, transaction flow, pipelines, etc.),
Perform RTL development (i.e. coding and debug in Verilog, SystemVerilog), function/performance simulation debug and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.
Participate in test plan and coverage analysis of the block and SoC-level verification.
Communicate and work with multi-disciplined and multi-site teams.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to subm

For more details to apply, Click here!

Data Scientist, Research, Ads, Insight and Measurement – India

Job Responsibilities:

Help suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product, and customer facing teams.
Collaborate with teams to define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding, and develop and implement quantitative methods to answer those questions.
Find ways to combine large-scale experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.
Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
Work with large, complex data sets. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.

Qualifications:

Bachelor’s degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience.
Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages.

Preferred:

3 years of experience in working as a Data Scientist, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Understand potential outcomes framework and have familiarity with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
Knowledge of structural econometric methods.

For more details to apply, Click here!