NVIDIA Recruitment 2024 for Software Engineer Intern, Data Science Engineering, NVIDIA Drive is organizing Off Campus Drive is organizing off Campus Drive for candidates in Any batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. If you are interested, Please apply as soon as possible.
Company Name: NVIDIA
Role: Software Engineer Intern, Data Science Engineering
Location: Bangalore/Pune
Experience: Freshers
Qualification: Bachelors/Masters or equivalent Degree
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
NVIDIA Recruitment 2024
About Us :
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are looking for a Software Engineer intern to join the Data Science Engineering Platform team and help us craft data collection and observability solutions for data at scale. As an intern, your responsibility will be to develop and deploy enterprise grade services, data pipelines and workflows for collecting the data until loading to data lake. You would be a phenomenal fit if you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving skills!
Requirements:
- Currently pursuing a Bachelor’s, Master’s or equivalent degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Excellent programming and testing skills in Python, Java or similar languages. Good understanding of software development lifecycle.
- Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
- Self-motivated and possesses outstanding collaboration skills with both peers and users.
Responsibilities:
- Contribute to development and support of data models, schemas, and data servicesthat provide blazing-fast analytics performance.
- Contribute to building scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.
- Add features to augment data quality check and observability capabilities to ensure data integrity and accuracy.
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