NVIDIA is looking for a Senior Site Reliability Engineer to work in IPP (Infrastructure, Planning and Process). IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide.

The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about infrastructure and looking for sophisticated, relevant issues, ready to build the next generation of cloud services, craft creative solutions, mine through data to uncover real problems and fix them? We would be excited to have you onboard.

What you'll be doing:

• Develop frameworks and scripts to automate workflows and deployments in a private cloud environment that houses several compute servers with NVIDIA GPUs.

• Specific focus on building and stabilizing our virtualization infrastructure of ESXi, KVM and Hyper-V.

• Deploy and maintain a large farm of machines using the latest Configuration Management & Infrastructure Automation tools (Chef, Ansible, Terraform).

• Develop extensive monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Big Panda, Grafana).

• Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of the infrastructure. (PagerDuty)

• Tackle sophisticated problems involving infrastructure scaling, capacity and planning.

• Analyze and Debug operating system, networking, configuration and performance problems.

• Assist in roll-out and deployment of new development features sought at supporting the latest NVIDIA hardware and technologies.

What we need to see:

• Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

• Proven experience working in large scale enterprise production systems. 8+ years of professional experience required.

• Ability to debug and analyze source code to triage, root cause and resolve issues in the infrastructure. Work closely with the platform engineering team in understanding hardware setups.

• Familiar with maintenance and setup of Linux, Windows hosts

• Hands-on coding experience with any of Python, Go. Unix shell proficiency. Knowledge of Java, C.

• Experience with version control systems like Perforce, GIT.

Ways to stand out from the crowd:

• Experience with VM and hardware virtualization technologies like VMware, KVM, Hyper-V, Docker and Kubernetes.

• Background with automating bare metal and VM provisioning.

• Experience with supporting GPUs, embedded device development, driver development and CUDA/TensorRT applications.

• Development experience in Chef, Ansible and infrastructure orchestration.