Senior DevOps Engineer - AI Infrastructure

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon RDS, Amazon Simple Storage Service (S3), Ansible, AWS, AWS Aurora, Bash scripting, Continuous Integration & Continuous Delivery - CI/CD, ETL frameworks, Github, GitLab, GoLang, Jenkins, Kubernetes-K8s, Linux Operating system, Mesos, Python Programming, Swagger, Terraform, Unix Operating system

Job Description

We are now looking for a Senior DevOps Engineer - AI Infrastructure! NVIDIA is hiring engineers to scale up its AI infrastructure. You will need to have strong programming skills, a deep understanding of cloud technologies, orchestration & automation systems, data centers and cloud architectures, as well as excellent communication and planning skills. You and other specialists in this team will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI-based applications such as autonomous vehicles, healthcare, virtual reality, graphics engines and visual computing.

This is an ambitious and exciting role in the AI Infrastructure Software team that gives you a chance to create and scale out a new product category. We are a dynamic, startup-like environment with strong focus on execution, flexibility and teamwork. We are looking for highly motivated software engineers who share our real passion for building phenomenal software. NVIDIA is at the forefront of the DL and AI revolutions. Come join us as we craft the future of Artificial Intelligence on NVIDIA GPUs.

What you’ll be doing:

• Collaborate with multiple AI product teams to understand their data and compute requirements (focusing on Autonomous Vehicle at this moment)

• Build infrastructure and tools that will increase the productivity of teams developing AI-based systems (data close loop, labeling/training of deep learning, debugging/replay of Autonomous Vehicle issues, etc.)

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

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

• Orchestrate create/delete/upgrade of live systems using maintenance windows, HA failover, and immutable infrastructure patterns

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

• Automate sophisticated tasks and improve the efficiency of functional automated tests

• Be part of an on-call rotation to support production systems, respond to incidents promptly, conduct root cause analysis of outages and implement preventive measures.

What we need to see:

• BS/MS with 4+ years of experience

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

• Experienced with microservices and ETL jobs

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

• Excellent understanding of AWS: EC2, S3, RDS, ECS, CloudFront, VPC, or equivalents in Aliyun, Tencent Cloud, etc.

• CI/CD: Jenkins, GitHub, GitLab, etc

• Programming: Go, Python, Bash

• Linux: Debian package management, Docker, systemd

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

• Understanding of observability instrumentation techniques and standard methodologies, including Prometheus, Grafana, OpenTelemetry, log system.

Ways to stand out from the crowd:

• Phenomenal teammate, loves to work in a team environment

• Worked in tier 1 Autonomous Vehicles companies, automating and accelerating the data driven development close loop for AV

Fluent English

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people on the planet working for us. If you're creative and autonomous, we would like to hear from you!