Senior DevOps Engineer - Enterprise Systems (Finance)

We are looking for a Senior DevOps and Infrastructure Engineer to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA 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 driving the productivity 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 distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them? We are excited to onboard a fun-loving person like you!

What you'll be doing:

• Work with NVIDIA Product Teams to understand new product requirements including HPC and AI/ML Products.
• Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.
• Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
• Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.
• Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.
• Solve critically layered problems involving multi-site deployments of NVIDIA products.
• Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to optimally deliver a reliable and robust platform from concept to prototype to deployments.
• Directly contribute to the overall quality of deployments and improve time to market next gen products.

What we need to see:

• Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
• 10+ years of proven experience with 5+ years of Linux and Scripting experience.
• Solid background on Enterprise Systems and Clustering architectures
• A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in complex configurations from hardware through multiple layers of software in a fast-paced environment.
• Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills.
• Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.
• Understanding of dense datacenter design including compute, Storage and networking.

Ways to stand out from the crowd:

• Experience in large scale QA environments, for product bring ups.
• Background with supporting GPUs, embedded device development, driver development and CUDA applications.
• Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
• Experience with converged and hyper-converged hardware and servers.
• Background with Python and familiarity with Jenkins, Ansible and REST APIs with expert level background with Windows & Linux administration.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. Widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about new technologies we want you on our team!

The base salary range is 168,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

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.