Job Description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.

We are looking for a Senior DevOps Engineer, Enterprise Systems to support our client's IPP's (Infrastructure, Planning and Process) Team. This is a W-2 full-time contract based in Santa Clara, CA . We offer competitive pay $100-$120/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

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.
• Design and develop internal tools (dashboards, scripts, automation pipelines) that improve operational efficiency and reduce manual intervention for support teams.
• 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 developing internal tooling or automation solutions that enabled infrastructure or support teams to work more efficiently.
• 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 including 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.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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