Google Careers Opportunities for Graduates Entry Level | Operation, Engineering and Technology | 1 - 5 yrs

Google Careers Opportunities for Graduates Entry Level | Operation, Engineering and Technology | 1 – 5 yrs

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

Google Careers Opportunities for Graduate Entry Level role in various domain such as Technology, Engineering, DATA Management, Legal, HR, Marketing, Finance and many more 2024

We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.

Careers Opportunities for Graduate Entry Level role 2024

Software Engineer, Google Nest – India

Job Description:

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!

Business Analyst, YouTube Trust and Safety Operations – India

Job Description:

Develop, build, measure performance on operational metrics (e.g., productivity, service level agreement, quality, cost, efficiency, timeliness), and generate insights to improve the efficiency of our operations.

Understand user impact of policies, become an expert in what moves the key metrics and conduct detailed analyses that result in actionable insights to enhance user experience on the platform.

Run ongoing and ad-hoc analyses in support of site-wide Trust and Safety objectives as well as operational effectiveness and incident response.

Collaborate with Operations, Engineering, Legal, Public Relations, and Product Management teams to craft convincing narratives to key policy makers, executives, governments based on data-driven approach.

Partner with data science and strategy teams to prioritize and execute sophisticated quantitative analyses and advanced modeling that delivers actionable insights.

Qualifications:

Bachelor’s degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, Operations Research, Bioinformatics, Computational Biology, a similar quantitative field, or equivalent practical experience.

1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.

1 year of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).

Preferred:

Experience in project management and process optimization with data analytics.

Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.

Experience with abuse prevention, policy, and regulatory systems.

Experience with delivering production level metrics, insights, and actions.

Familiarity with responding to high priority regulatory asks in a timely and appropriate fashion.

For more details to apply, Click here!

Technical Program Manager I, Software Engineering, Android Auto – USA

Job Responsibilities:

Coordinate and deliver program communications in close collaboration with program stakeholders, including metrics progress, meeting notes, meeting AIs, decision/escalation logs, newsletters, and websites.

Collect data relating to program progress from program stakeholders. Maintain project trackers and status reports in close collaboration with program stakeholders.

Author program charter that addresses scope and timeline of basic program, specify program objectives and key results, and explain resource requirements/dependencies, in close collaboration with program stakeholders.

Author stakeholder map that specifies who is impacted by, and who influences, program outcome in close collaboration with program stakeholders.

Triage technical bugs and feature requests alongside engineering stakeholders for purposes of prioritization, resourcing, and tracking execution.

Qualifications:

Bachelor’s degree in a relevant field, or equivalent practical experience.

1 year of experience in program management.

Experience working with telemetry, statistical analysis or driving analytic projects.

Preferred:

Experience with the Android software and framework, ecosystem, and software development.

Experience in automotive infotainment software development and project management.

Ability to be an influential member of a integrated team composed of both technical and non-technical members.

For more details to apply, Click here!

Program Manager, Reverse Logistics Operations – London, UK

Job Responsibilities:

Coordinate and deliver program communications in close collaboration with program stakeholders, including metrics progress, meeting notes, meeting AIs, decision/escalation logs, newsletters, and websites.

Collect data relating to program progress from program stakeholders.

Author program charter that addresses scope and timeline of basic program, specify program OKRs, and explain resource requirements/dependencies, in close collaboration with program stakeholders.

Author stakeholder map that specifies who is impacted by, and who influences, program outcome in close collaboration with program stakeholders.

Triage technical bugs and feature requests alongside engineering stakeholders for purposes of prioritization, resourcing, and tracking execution.

Qualifications:

Bachelor’s degree or equivalent practical experience.

1 year of experience in program management.

Experience working with data analytics tools and reporting platforms.

Experience in project management or process improvement; demonstrated experience managing large-scale projects with multiple stakeholders.

Preferred:

Master’s degree or equivalent practical experience.

Strong operations and program management skills within a fast-paced, cross-functional environment.

Excellent communication skills, including the proven ability to effectively manage, influence, negotiate, to meet rigorous operational performance.

Effective analytical and structured problem solving skills, with excellent communication and collaboration skills exhibited in complex operational setting.

Ability to effectively engage and proactively lead efforts with business, operations, finance and engineering teams.

For more details to apply, Click here!

Business Finance Analyst, Cross Programs, Google Customer Solutions – India 

Job Responsibilities:

Analyze financial results and key performance metrics to support decision making, build and maintain financial models to identify the viability of projects, analyze expected returns, and support resource allocation.

Provide decision support for operational decisions and project decisions through financial analysis.

Deliver data solutions that tell a story and provide insights to the users, enabling them to make better decisions and more efficiently complete responsibilities.

Incorporate best practices for reporting, dashboards and scorecards, and data visualization to ensure data solutions fill the information gaps of the finance organization.

Lead release schedules and milestones along stages of a project’s life-cycle, coordinating across multiple teams across Google to ensure delivery of best data products/solutions.

Qualifications:

Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

2 years of experience in financial planning and analysis, consulting, a related function, or an advanced degree.

Preferred:

Experience using SQL to extract and manipulate data, building reporting dashboards, and in programming languages such as R, Python.

Experience with financial modeling, trends, and developing insights.

Experience working on teams that manage data projects, and with Agile methodologies.

Knowledge of conceptual, logical, and physical data modeling, and data architecture.

Ability to motivate colleagues and collaborate to help influence senior leadership.

Excellent communication and partnership skills.

For more details to apply, Click here!

Analyst, Marketing Finance – India 

Job Responsibilities:

Manage and automate dashboards and ensure that quarterly spend matches forecasts.

Develop tools and data infrastructure to explain spending activity and effectiveness across different initiatives.

Analyze the effectiveness of marketing campaigns, derive insights, and develop recommendations for the marketing leadership team.

Design, implement, and maintain processes for managing expenditures and risk.

Qualifications:

Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

2 years of experience in financial planning and analysis, consulting, a related function, or an advanced degree.

Preferred:

Experience building financial reporting, producing analysis, and implementing reporting solutions.

Ability to work with data to produce analysis, influence decision making with numerical analysis, and generate insights.

Excellent organizational skills, with the ability to multitask in a fast-paced, constantly evolving environment.

For more details to apply, Click here!

Systems Failure Analysis Engineer, Quantum AI – India 

Job Responsibilities:

Own quantum processor Fault Isolation/Failure Analysis process.

Maintain our database of observed processor failure modes and mechanisms.

Define quantum processor Failure Analysis inspection and tear down procedures to assure we are accurately assigning root cause.

Develop new and refine existing failure analysis techniques specific to quantum processors and systems.

Qualifications:

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Materials Engineering, Physics, a related field, or equivalent practical experience.

1 year of experience in root cause analysis.

1 year of experience with failure analysis/fault isolation techniques.

1 year of experience creating process travelers and related documentation.

Preferred:

Experience managing technicians in a laboratory environment.

Experience in data analysis and visualization using Python, JMP, or similar tools.

Knowledge of cleanroom semiconductor fabrication and test.

Knowledge of vacuum and cryogenic systems.

Knowledge of printed circuit board fabrication and test.

For more details to apply, Click here!

AI Protection Analyst

Job Responsibilities:

Identify and investigate possible failure modes for Generative AI products on a broad range from sociotechnical harms to misuse.

Perform in-depth analysis of risks, measure and mitigate AI-related risks, using benchmarking, evaluations, dataset design, and usage monitoring.

Prepare analysis reports and present findings and solutions to stakeholders with exceptional written and verbal communication.

Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted.

Qualifications:

Bachelor’s degree or equivalent practical experience.

1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

1 year of experience managing projects and defining project scope, goals, and deliverables.

Preferred:

Master’s degree in a quantitative discipline.

1 year of experience or familiarity with one or more of the following languages: SQL, R, Python, and/or C++.

1 year of experience or familiarity with machine learning systems.

Excellent written and verbal communication skills.

Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

For more details to apply, Click here!