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NVIDIA is seeking a Senior Systems Software Engineer for its Apache Spark Acceleration group. This role involves developing CUDA/C++ libraries and open-source plugins to accelerate Spark applications on GPUs, reducing cloud computing costs and latency for large data processing needs. The engineer will collaborate with distributed systems teams and open-source communities, contributing to libraries like RAPIDS, CCCL, and UCX. The position requires significant experience in software development and data platform development, with proficiency in C++, Java, and Scala, and familiarity with the open-source data platform ecosystem.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes.
What you'll be doing:
What we need to see:
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.