Senior DGX Cloud Software Engineer- Infrastructure Automation and Distributed Systems

We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale cloud infrastructure services at scale close to the bare metal. In this organization, you will ensure that our internal and external facing cloud services atop of our hardware for accelerated computing are running as reliably as needed.

What you’ll be doing:

• Design, build, deploy, and run cloud infrastructure services in scope to meet our business goals performing migrations and decommissions as necessary.

• Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

• Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

• Practice sustainable blameless incident prevention and incident response while being a member of an oncall rotation.

• Consult with and provide consultation for peer teams on systems design best practices.

What we need to see:

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

• 5+ years of relevant experience.

• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.

• Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production.

• Experience in one or more of the following: Python, Go, Perl or Ruby.

• In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Ways to stand out from the crowd:

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience working with or developing bare metal as a service (BMaaS) associated systems. Experience working with or developing multi-cloud infrastructure services.

• Experience teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE). Experience in running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

• Experience with Nvidia Collective Communication Library (NCCL). No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have.

A culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.