What are the responsibilities and job description for the Cloud & Data Engineering Intern position at Bosch USA?
Company Description
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work
Tasks
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
Tasks
- Solution Design and Architecture: Collaborate with the data engineering and software development teams to design and architect digital twin solutions that can be deployed on edge servers. Consider factors such as resource limitations, real-time processing requirements, and scalability.
- Real-Time Data Processing: Implement data processing pipelines that can handle real-time data streams from edge devices, preprocess the data, and feed it into the digital twin models for analysis and insights generation.
- Performance Monitoring and Optimization: Monitor the performance of deployed digital twin solutions on edge servers and identify areas for optimization. Collaborate with the team to improve latency, throughput, and overall system efficiency.
- Documentation and Reporting: Document the deployment process, configurations, and optimizations made for future reference. Prepare reports and presentations summarizing the deployment progress and performance.
- Education: Pursuing Master's degree in Data Engineering, Computer Science, Electrical Engineering, or a related field.
- Strong Programming Skills: Proficiency in programming languages such as Python, C , or Java, along with experience in software development and scripting.
- Cloud Computing Knowledge: Experience with at least one of the hyperscaler clouds (Azure or AWS)
- Data Processing and Analytics: Understanding of data processing techniques and familiarity with data analytics tools and frameworks (e.g., Apache Spark, Hadoop, SQL) for real-time data analysis.
- Deployment and Configuration: Experience in configuring and setting up servers, preferably edge servers, and knowledge of networking concepts.
- Problem-Solving Abilities: Ability to analyze complex problems, break them down into manageable tasks, and propose innovative solutions for deployment challenges in edge computing.
- Team Player: Strong interpersonal skills and ability to work collaboratively in a fast-paced, interdisciplinary team environment.
- Communication Skills: Effective verbal and written communication skills to convey technical concepts and findings to both technical and non-technical stakeholders.
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
