Machine Learning DevOps Engineer


June 11, 2021

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 a DevOps Engineer to work on compilers for AI space.
What you’ll be doing:

  • Work with state-of-art CI/CD systems to automate, deploy and monitor machine learning workloads

  • Build, configure and maintain UI

  • Maintain source control, integrate with build and test system and create archival and deployment repositories

  • Own CI/CD pipelines from start to finish

  • You will help identify potential or observed weaknesses in current process, implement ideas for actions that can improve quality, and participate in quality initiatives and drive continuous improvement.

What we need to see:

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

  • 2+ years work experience in a software development or test organization.

  • Expertise in Jenkins-based CI systems and source control tools (Git, Perforce)

  • Fluency in Python, Groovy and Shell scripting

  • Experience with automation and other tools like Kubernetes, GitLab CI/CD, Docker, Artifactory and Ansible.

  • Knowledge of Deep Learning / Machine Learning domain.

  • 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.

Ways to stand out from the crowd:

  • MS in related fields

  • Knowledge of deep learning frameworks such as TensorRT, TensorFlow & PyTorch and optimizing compilers like XLA and Glow.

  • Experience in building and testing production software. Preferably compiler or machine learning software.

  • Background in CI/CD using cloud-based solutions (NGC, GCP, AWS)

Widely 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.