Nvidia Senior Compiler Verification Engineer - Deep Learning 

China, Shanghai 

624651616

What you’ll be doing:

• Work with state-of-art CI/CD frameworks to automate, deploy and monitor machine learning workload and tracking its results

• Reproduce, triage and isolate test failures to the change in code or in the software components used in testing

• Generate test reports, isolating, and classifying performance regressions and tracking its trends

• Drive innovation by designing and implementing automation solutions that reduce manual effort in regression testing. This includes failure monitoring, analysis, isolation/triage, and reporting of defects

• Help identifying potential or observed weaknesses in the current process, offer ideas for actions that can improve code coverage, and participate in quality initiatives and drive continuous improvement

What we need to see:

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

• 5+ years of automation experience with Jenkins, Groovy, bash, Python, Powershell, Gitlab CI/CD, Docker, Artifactory on Linux or Windows

• You should be focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills

• Demonstrated uses of creative thinking for solutions to exciting problems that matter

• Fluent written and spoken English, upper intermediate+

Ways to stand out from the crowd:

• Experience working with Deep Learning frameworks like JAX, PyTorch or TensorRT

• Background with Gitlab CI/CD, Ansible, Bazel, Web UI frameworks

• Experience testing production software, or developing fuzzing tools for software testing

• Knowledge of other programming languages and domains such as CUDA, Large Language Models

• Compiler knowledge: Have an understanding of how compilers work and how compilers are implemented