Senior DGX Cloud Software Engineer- Infrastructure Automation and Distributed Systems

Details

We are seeking Software Engineers with previous experience building and running private and public clouds at production scale (i.e. beyond labs). In this organization, you will also ensure that our internal and external facing cloud services infrastructure atop our hardware for accelerated computing are running as reliably as needed.

Responsibilities

• Design, build, and run cloud infrastructure services in scope to meet our business goals performing integrations, migrations, bringups, updates, 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.

Requirements

• 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 systems in production.
• Experience in one or more of the following: Python, Go or C++.
• In depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, 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. For example, vending BMaaS, or Slurm running on containers, or vending Kubernetes clusters.
• 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). Experience working with a centralized security organization to prioritize and mitigate security risks. Experience balancing build vs reuse vs buy. 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.

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