Nvidia Senior Performance Software Engineer 

Taiwan, Taipei 

501336875

What you’ll be doing:

• Evaluate performance bottlenecks and come up with ways to improve performance in the whole deep learning-based application stack

• Generate consistent performance metrics based on industry standards and develop frameworks, needed scripts for collecting and reporting the metrics.

• Work actively on creating micro benchmarks for performance evaluation in cloud and bare metal environment.

• Debugging various issues related to performance and recommend optimization in I/O stack.

• Work closely with other software engineers to evaluate performance of deep learning frameworks on GPU accelerated systems.

• Work collaboratively with other specialists and be willing to tackle any engineering tasks that commit to the progress towards the goals of the team and the company.

What we need to see:

• Advanced knowledge in Computer Architecture. Detailed knowledge of NUMA, Cache coherency, PCIe.

• Extensive experience in platform optimization. Solid knowledge of Computer I/O (e.g., RDMA, remote storage, etc.)

• Experience with tools for performance analysis.

• Good knowledge of Linux kernel internals, Filesystem, memory architecture, scheduling algorithms and parallel programming.

• Experience with virtualization (e.g. KVM) and experience with Cloud platforms

• Solid in coding using any of languages like python, C/C++. Shell scripting experience. Python and Perl experience is a Plus. Experience with version control tools (e.g. git).

• Excellent communication skills. Ability to work in dynamic environment and can-do attitude.

• Bachelor of Science Degree in Electrical Engineering or Computer Science or equivalent experience. 5+ years of experience

Ways to stand out from the crowd:

• Good understanding of ARM and x86 platforms at architecture level

• Knowledge of deep learning neural networks, how they work and familiarity with various DL frameworks.

• Experience with GPU-accelerated software.

• Experience in networking as a developer or as a performance engineer. Experience with container technologies (e.g. Docker).

• Deep understanding of technology and passionate about what you do. Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic work environment.