Nvidia DevOps Intern - AI Infrastructure 

China, Shanghai 

327506013

What you’ll be doing:

• Collaborate with multiple AI product teams to understand their data and compute requirements (cars, healthcare, etc.)

• Work with data center team to drive cluster needs

• Collaborate with AI applied researchers and leaders to build future-proof infrastructure

• Build infrastructure and tools that will increase the productivity of teams developing AI-based systems (training of deep learning / reinforcement learning systems)

• Enable development team by providing automated build and test solutions in simulation environments using AWS, Docker, and physical deep learning machines

• Maintain version control schemas to track development, staging, and production code using git

• Orchestratecreate/delete/upgradeof live systems using maintenance windows, HA failover, and immutable infrastructure patterns

• Collaborate with multiple teams and domain experts to integrate multiple NVIDIA products into the CI workflow

• Automate complex tasks and improve the efficiency of functional, white box and black box automated tests

What we want to see:

• Bachelor or Master of Science (or equivalent) in Computer Science, Computer Engineering, or related

• Solid technical foundation in automation, cloud infrastructure and orchestration, including experience with at least one orchestration system (Kubernetes, Swarm, Mesos, Marathon, Aurora, etc)

• You have experience with microservices and ETL jobs

• You have experience with cloud automation tools (Ansible, Terraform, etc)

• AWS: EC2, S3, RDS, ECS, CloudFront, VPC, or equivalents in Aliyun

• CI/CD: Jenkins, GitHub, GitLab, etc

• Programming: Python, Bash, Go, Javascript

• Linux: Debian package management, Docker, systemd

• Networking: Linux firewall, PXE, NFS, ZFS, CIFS

• Excellent communication and interpersonal skills

Ways to stand out from the crowd:

• Excellent data analysis skills and the demonstrated ability to solve complex issues involving multiple software or hardware components

• Team player, loves to work in a team environment