We are now looking for a Senior Deep Learning Data Analytics Engineer:
NVIDIA is hiring senior engineers to scale up its AI infrastructure. You will need to have strong programming skills, a solid knowledge of traditional big data technologies, experienceworking with heterogeneous data types at scale, past experiencecollaborating with teams to understand and interpret their data, and excellent communication and planning skills. You and other specialists in this team will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI based applications such as autonomous vehicles, healthcare, virtual reality, graphics engines and visual computing.
What you'll be doing:
Collaborate with AI infrastructure and deep learning teams to gain an in-depth understanding of their data and compute.
Build and implement data mining and analytics pipelines to measure performance, trends, and targets for deep learning and AI infrastructure services.
Create business analytics reports and dashboards that help AI researchers and leaders make data driven decisions for data collection, data diversity, and training.
What we need to see:
You have a BS or MS in Computer Architecture, Computer Science, Electrical Engineering or a related data intensive Engineering Degree with 3+ years of relevant experience in big data analytics and technologies.
Deep experience with big data analytics, ETL, data warehousing, and databases.
Proven experience in collaborating with multiple teams to collect and process large amounts of data, building microservices and RESTful APIs.
A solid technical foundation and experience in traditional big data technologies and databases (MapReduce, Hadoop, Hive, Presto, Spark, AWS EMR, AWS S3, Cassandra, etc.).
You possess strong programming skills in Python and scripting tasks (Bash, etc.) and are adept in using Linux and typical development tools.
Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.
Ways to stand out from the crowd:
- Experience with creating business analytics reporting using tools like ELK and Tableau.
- Knowledge of Hive, Presto, and Spark SQL, and other structured data search and query languages.
- Experience with Jupyter, Apache Zeppelin, and related visualization that help provide data insights.
- Strong understanding of Docker and orchestration systems such as Kubernetes.