AI Infrastructure - DevOps Intern null

About NVIDIA

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. NVIDIA's work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

Your role

What you'll be doing:

• Collaborate with multiple AI product teams to understand their data and compute requirements (cars, healthcare, etc.)
• Work with the 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
• Orchestrate creation/deletion/upgrade of 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

Training & development

The NVIDIA Deep Learning Institute (DLI) offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs. Individuals, teams, organizations, educators, and students can now find everything they need to advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.

Benefits

NVIDIA offers interns the following:

• Intern Experience
• Healthcare Programs
• Time Off & Holidays
• Well-Being
• Learning & Development

Career progression

At NVIDIA, the mission is to challenge, inspire, and offer amazing opportunities for the continuous growth and learning of its interns. NDIVIA makes it happen through a comprehensive benefits package that includes engaging programs, exciting events, special perks, and more.

Work-life balance

NVIDIA is flexible and supports the most effective way for you to work, whether it’s from home, in the office, or a combination of the two. You’re also eligible for all holidays and free Days. Use these days to disconnect and recharge.

Culture & vibe

NVIDIA's culture is centered around innovation, collaboration, and a drive for excellence. The company fosters an environment where employees are encouraged to push the boundaries of technology and creativity. NVIDIA emphasizes agility, inclusiveness, and a commitment to learning and growth, making it a place where employees can truly do their life's work.

About you

What NVIDIA needs 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, system
• 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

How to apply

NVIDIA hiring process:

• Search and apply
• Meet
• Join the team

Sources

The following sources were used in researching this page:

• nvidia.com/en-us/benefits/interns/
• nvidia.com/en-us/about-nvidia/careers/university-recruiting/
• learn.nvidia.com/
• nvidia.com/en-in/about-nvidia/culture-at-nvidia/