We are now looking for a Senior Data Engineer.
NVIDIA is hiring senior distributed systems and data engineers to work on our AI infrastructure and deep learning platform team. Our team is building a software 2.0 developer platform for autonomous vehicles with a focus on datasets for AI application development. Together, we will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI based applications such as autonomous driving, robotics, healthcare, virtual reality, graphics engines and visual computing.
What you will be doing:
What we need to see:
Design and program PB sized scalable data lake interfaces, microservices, and web technologies that support ingesting and querying structured data. Enabling efficient data selection is a key ingredient to successful machine learning!
Architect and program sophisticated distributed systems and high performance compute and data pipelines. Enable mining and analyzing data to help AI leaders and researchers make data driven decisions for data collection, diversity, training, and evaluation.
Build and implement support for versioned, traceable, and immutable datasets in a data lake in a distributed and scalable manner.
Architect and craft solutions for the next generation of software 2.0 development using real and synthetic / simulated datasets for autonomous driving.
Spend a majority of the time hands-on writing code and peer reviewing high performance, high quality, and well tested and well architected code.
Collaborate with AI applied researchers and leaders to build future-proof infrastructure using new technologies.
Maximize your creativity and technical excellence to realize the future of self-driving cars!
Ways to stand out from the crowd:
A BS or MS (or equivalent experience) in Computer Architecture, Computer Science, Electrical Engineering or a related data intensive Engineering Degree.
10+ years of proven experience designing and developing production level software that includes working with heterogeneous data types at scale, cloud technologies, distributed storage & compute systems, and distributed services architecture.
A technical authority with strong experience in traditional data engineering technologies, databases, analytics, and common architectures.
Built and orchestrated at scale business critical data clusters, infrastructure, services, and ETL pipelines in a cloud environment.
Proven experience in collaborating with multiple teams to collect and process large amounts of data, deploying, upgrading, migrating, and driving user adoption of sophisticated enterprise scale systems.
A specialist programmer in Go, C/C++, Scala, SQL, or equivalent.
Advanced expertise in MapReduce, Hadoop, Hive, Presto, Spark.
Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development.
Well versed in agile methodology.
Comfortable with a customer focused, high paced environment.
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.
Experience with structured data such as Avro, Parquet, Protobuf, Thrift, and concepts like schema evolution.
Advanced programming skills to build distributed storage and compute systems, backend services, microservices, and full-stack web based visualization technologies to help provide data insights.
Strong understanding of Docker and orchestration systems such as Kubernetes.
A go getter attitude to dive deeper and understand technical requirements?
With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a real passion for distributed systems and autonomous driving, we want to hear from you.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.