What are the responsibilities and job description for the Cellular Data & Automation Engineer position at Apple, Inc.?
Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what's considered feasible? As part of a world class modem team, you'll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You'll work across disciplines to transform improved hardware elements into a single, integrated design. \\n\\nJoin us, and you'll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you'll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular Data & Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for designing and productizing state-of-the-art cellular SoCs.
As a Data & Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.
BS and a minimum of 10 years relevant industry experience\nProficient developer with 5 years proven programming skills using Python, Pandas, Matplotlib and other key related tools.\nSolid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. \nExperience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together.\nAbility to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.
Master's degree in data science or computer science or machine learning is preferred. \nProficient in scripting or programming languages such as Python, Java, C/C with 5 years of proven programming skills.\nAdvanced SQL skills with the ability to write complex joins and nested queries.\nProficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together.\nExperience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation.\nExperience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD.\nAbility to leverage data science algorithms and machine-learning models to solve various kinds of issues.\nExperience in utilizing analytics and statistical methods to transform data into useful insights and actionable results.\nAbility to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.\nStrong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies.
As a Data & Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.
BS and a minimum of 10 years relevant industry experience\nProficient developer with 5 years proven programming skills using Python, Pandas, Matplotlib and other key related tools.\nSolid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. \nExperience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together.\nAbility to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.
Master's degree in data science or computer science or machine learning is preferred. \nProficient in scripting or programming languages such as Python, Java, C/C with 5 years of proven programming skills.\nAdvanced SQL skills with the ability to write complex joins and nested queries.\nProficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together.\nExperience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation.\nExperience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD.\nAbility to leverage data science algorithms and machine-learning models to solve various kinds of issues.\nExperience in utilizing analytics and statistical methods to transform data into useful insights and actionable results.\nAbility to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes.\nStrong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies.