Data Scientist, Autonomous Vehicle Infrastructure Analytics

Are you a data-driven problem solver with a passion for cutting-edge technology? Do you thrive in a fast-paced and dynamic environment? If so, we have an exciting opportunity for you to join our team as a Data Scientist for Autonomous Vehicle Infrastructure Analytics at NVIDIA.In this role, you will be responsible for developing and implementing data-driven solutions to improve the performance and reliability of our autonomous vehicle infrastructure. You will work closely with cross-functional teams to analyze large datasets, develop predictive models, and generate insights that will drive our autonomous vehicle technology forward.To excel in this role, you should have a strong background in data analysis, machine learning, and programming. You should also have a deep understanding of the complexities and challenges of autonomous vehicle infrastructure. If you are a driven and innovative thinker with a passion for autonomous vehicles, we encourage you to apply for this exciting opportunity with NVIDIA.

Responsibilities:

1. Develop and implement data-driven solutions to improve the performance and reliability of autonomous vehicle infrastructure.
2. Work closely with cross-functional teams to identify and analyze large datasets related to autonomous vehicle infrastructure.
3. Use machine learning techniques to build predictive models and generate insights that drive the development of our autonomous vehicle technology.
4. Collaborate with engineers and developers to integrate data-driven solutions into our autonomous vehicle infrastructure.
5. Stay updated on the latest advancements in autonomous vehicle technology and apply them to our infrastructure analytics.
6. Create and maintain documentation for data-driven solutions and models.
7. Participate in regular team meetings and provide progress updates on projects.
8. Communicate findings and insights to stakeholders in a clear and concise manner.
9. Continuously monitor and analyze data to identify areas for improvement in our autonomous vehicle infrastructure.
10. Proactively identify potential issues and provide recommendations for resolution.
11. Develop and maintain relationships with external partners and vendors to gather relevant data and insights.
12. Stay informed on industry trends and best practices in data science and machine learning.
13. Collaborate with other data scientists and analysts to share knowledge and improve overall processes.
14. Maintain a high level of quality and accuracy in all work produced.
15. Actively participate in team brainstorming and problem-solving sessions.

According to JobzMall, the average salary range for a Data Scientist, Autonomous Vehicle Infrastructure Analytics in Santa Clara, CA, USA is $130,000 - $160,000 per year.

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.