Nvidia Senior Deep Learning Software Engineer 

United States, California 

905726910

What you'll be doing:

• Lead, mentor, and grow your distributed runtime engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of the runtime stack.

• Work closely with NVIDIA Research, Engineering, Developer Technology, and Product Management teams in the areas of scientific computing, data analytics, programming systems, and AI to help collect requirements for your products as well as contribute to the development of technology roadmaps.

• Interact with external partners and researchers to understand their use cases and requirements.

What we need to see:

• BS, MS or PhD degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

• 8+ years of overall experience in developing distributed runtimes or at-scale high-performance software.

• 3+ years of experience recruiting, training and leading software engineering teams.

• Background in high performance computing and performance critical applications

• Experience implementing, tuning, and debugging runtimes and/or distributed systems for supercomputers or the cloud

• Hands-on experience with design, development, testing, maintenance, and performance optimization of GPU-accelerated software using C, C++ or Python.

• Strong collaboration, communication, and documentation habits.

• Experience with agile software development practices using project management tools such as JIRA.

Ways to stand out from the crowd:

• Experience with development of distributed runtimes such as Legion, Ray or Dask

• Experience with parallel programming, ideally using CUDA, MPI or OpenMP

• Good knowledge of CPU and/or GPU hardware architecture.

• Development of domain specific libraries/languages for high performance computing

• Good understanding of Machine Learning and Deep Learning technologies