HPC Data Analyst

At NVIDIA, we are looking for an innovative and experienced HPC Data Analyst to join our thriving team. Our ideal candidate will have exceptional technical skills and knowledge of data analysis and data engineering, along with an understanding of the High Performance Computing (HPC) environment.The successful candidate will be a creative problem-solver who can develop and implement data analysis techniques to support our NVIDIA HPC environment. They will need to be able to work closely with other technical professionals to ensure that the data analysis results are accurate and reliable.We are looking for an individual who has excellent communication skills and the ability to collaborate effectively with stakeholders, customers, and colleagues. The HPC Data Analyst should be detail-oriented and be able to think on their feet in order to address complex data analysis and engineering challenges.The ideal candidate for this role will have a Bachelor's degree in Computer Science, Data Science, or a related field, along with experience in data analysis and data engineering. They should have a deep understanding of HPC architectures and the ability to develop and implement data analysis techniques. Additionally, they should be comfortable working with large data sets and have experience using programming languages such as Python, R, or Java.If you have the required qualifications and are ready to take on the challenge of joining NVIDIA's world-class HPC Data Analyst team, we look forward to hearing from you!

Responsibilities:

1. Develop and implement data analysis techniques to support NVIDIA's HPC environment.
2. Ensure that data analysis results are accurate and reliable.
3. Collaborate effectively with stakeholders, customers, and colleagues.
4. Think on feet to address complex data analysis and engineering challenges.
5. Work with large data sets and use programming languages such as Python, R, or Java.
6. Troubleshoot and debug data analysis techniques.
7. Keep up with the latest advances in HPC architecture and data analysis techniques.
8. Maintain an up-to-date knowledge base of HPC architectures.
9. Monitor the performance of data analysis systems and make improvements as needed.
10. Provide technical advice and support to stakeholders, customers, and colleagues.

According to JobzMall, the average salary range for a HPC Data Analyst is $50,000 to $80,000 per year. This salary range is based on experience and other factors such as location, education, and employer. The salary may also vary depending on the size of the organization and the specific job duties.

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.