Nvidia Senior Software Engineer – Simulation Virtualization 

Taiwan, Taipei 

110740763

You will be part of global Performance Lab team, improving our capacity to expertly and accurately benchmark state-of-the-art datacenter applications and products. We also work to develop new scripts that enhance the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

What you’ll be doing:

• Benchmark, profile, and analyze the performance of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC) on NVIDIA supercomputers and distributed systems.

• Aggregate and produce written and visual reports with the testing data for internal sales, marketing, SW, and HW teams

• Setup and configure systems with appropriate hardware and software to run benchmarks

• Collaborate with internal teams to debug and improve performance issues

• Develop Python scripts to automate the testing of various applications

• Assist with the development of tools and processes that improve our ability to perform automated testing

What we need to see:

• Currently pursuing a Bachelor's degree (or higher) in Computer Science, Electrical Engineering, or a related field.

• Experienced in programming and debugging with scripting languages such as Python or Unix shell.

• Strong data analysis skills and the ability to summarize findings in a written report

• Hands-on experience with Linux based systems. Familiarity using a container platform such as Docker or Singularity. Experience with compiling and running software from source code.

• Fast and self-learning capabilities with strong analytical and problem-solving skills.

• Good English verbal and written interpersonal skills to improve collaboration with coworkers

Ways to stand out from the crowd:

• Background with GPU/CPU benchmarking

• Familiar with ML/DL techniques, algorithms and frameworks like TensorFlow or PyTorch.

• Experience in AI model development, training, evaluation and deployment on Cloud, Cluster or on-premises. Familiar with cloud provisioning and scheduling tools (Kubernetes, SLURM).

• Exposure to testing automation for various applications.