Nvidia Senior Distributed Acceleration Engineer RAPIDS 

United States, Texas 

828838319

In this role, you will develop, benchmark, and explore novel tuned custom solutions, as well as existing open-source engines, like Dask, Ray, Spark, and more, which can achieve high-performance goals for multi-GPU workloads. This is a great chance to take advantage of your distributed systems knowledge, CUDA C++, and Python programming skills. You’ll work closely with the RAPIDS group of stellar engineers building highly optimized multi-GPU CUDA libraries.

What you'll be doing:

• Analyze, design, and implement optimized GPU algorithms for large-scale data analytics and machine learning

• Architect and implement distributed GPU algorithms for dense multi-GPU single-node machines and more generally for multi-GPU multi-node environments

• Expand and improve integration of RAPIDS into relevant high-level frameworks

• Drive performance analysis, benchmarking, and troubleshooting of associated libraries.

• Collaborate with a multi-functional team to understand requirements and implement or improve solutions

What we need to see:

• MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning, and Computer Vision or equivalent experience.

• 5+ years of proven experience in Computer Science, Artificial Intelligence, Applied Math, or related field

• Strong analytical problem-solving skills, algorithms, and mathematics fundamentals.

• Distributed System experience and development

• Excellent software development skills: programming, debugging, performance analysis, and test design

• Good communication and documentation habits.

• Ability to work independently and manage your own development efforts.

Ways to stand out from the crowd:

• Experience developing distributed algorithms and running on distributed systems: HPC, Cloud, etc

• Experience with debugging multi-language and multi-hardware systems

• Experience with the PyData Stack: NumPy, Pandas, Scikit-Learn, Dask,

• Prior work on open-source projects

• GPU programming knowledge is a plus, but if you don’t have it, we’re happy to teach you