NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”Do you want to help drive the progress of compiler for machine learning application? Are you excited to learn how GPU performance powers technology such as mobile gaming, deep learning, and self-driving cars? Are you passionate about challenging yourself and would you love to contribute as part of a world-class company?We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to work on compiler testing in the Al space. You will be solving critical problems working alongside some of the top valued a diverse set of minds in GPU computing and systems software, doing what you enjoy. If this sounds like fun challenge, we want to hear from you!What you’ll be doing:Work with state-of-art CI/CD frameworks to automate, deploy and monitor machine learning workload and tracking its resultsReproduce. triage and isolate test failures to the change in code or in the software components used in testingGenerate test reports, isolating, and classifying failures and tracking performance trendsDrive 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.What we need to see:BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field.Automation experience with Jenkins, Groovy, bash, Python, Gitlab-CI, Docker, Artifactory on Linux or Windows.You should be focused, learn quickly, and have strong analytical skills with attention to detail. Attention to detail and ability to multi-task.Fluent written and spoken English, upper intermediate+Demonstrated uses of creative thinking for solutions to exciting problems that matter.Ways to stand out from the crowd:Experience using deep learning frameworks and libraries such as TensorRT, JAX or TensorFlowExperience with Gitlab CI/CD, Ansible, Bazel, Web UI frameworksWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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