Nvidia Performance Engineer - Deep Learning 

United States, California 

747029560

What you will be doing:

• Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.

• Study and tune Deep Learning training workloads at large scale.

• Optimize production AI models used by enterprise customers and partners.

• Build and support NVIDIA submissions to community benchmarks like MLPerf.

• Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.

• Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.

• Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.

What we need to see:

• BS or equivalent experience in Computer Science, Electrical Engineering or a related field.

• 2+ years of experience with C++ and Python programming.

• Strong background with parallel programming, preferably on GPUs.

• Knowledge of Computer Architecture and/or Operating Systems.

• Proven experience developing large software projects.

• Excellent verbal and written communication skills.

Ways to stand out from the crowd:

• Experience in PyTorch, Tensorflow or MXNet.

• Background with performance analysis and profiling of workloads.

• Participation in the open source community.

• Proven experience working with multidisciplinary teams.