NVIDIA
Senior DGX Cloud Software Engineer - Infrastructure Automation and Distributed S
NVIDIA, Chicago, Illinois, United States
Senior DGX Cloud Software Engineer - Infrastructure Automation and Distributed Systems
Join to apply for the Senior DGX Cloud Software Engineer - Infrastructure Automation and Distributed Systems role at NVIDIA.
We are seeking Software Engineers with previous experience building and running private and public clouds at production scale. As part of the DGX Cloud team, you’ll support our customers' journeys in AI training and inference development by building the platforms, tools, and services that defend the operational capacity of our bare‑metal, accelerated compute infrastructure and codify reliability best‑practices in the broader DGX Cloud platform ecosystem.
What You’ll Be Doing
Design, build, and run cloud infrastructure services to meet business goals, performing integrations, migrations, bring‑ups, updates, and decommissions as necessary.
Participate in the definition of internal 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 worthwhile.
Practice sustainable blameless incident prevention and incident response while being a member of an on‑call rotation.
Consult with and provide consultation for peer teams on systems design best practices.
Participate in a supportive culture of values‑driven introspection, communication, and self‑organization.
What We Need To See
Proficiency in one or more of the following programming languages: Python or Go.
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 in infrastructure and fleet management engineering.
Experience with infrastructure automation and distributed systems design developing tools for running large‑scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.
A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
In‑depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, local and distributed storage, and systems networking.
Ways To Stand Out From The Crowd
Demonstrating a systematic problem‑solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.
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 engineering (e.g. SRE) and/or other scale‑oriented cloud systems practices to peers and/or 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 accelerated compute and communications technologies such as BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).
Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI‑focused role or on a team matching specific keywords is welcome but not required.
Compensation & Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is:
Level 4: $168,000 – $270,250 USD
Level 5: $208,000 – $333,500 USD
In addition, you will be eligible for equity and benefits.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.
How to Apply Applications for this job will be accepted at least until December 3, 2025.
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We are seeking Software Engineers with previous experience building and running private and public clouds at production scale. As part of the DGX Cloud team, you’ll support our customers' journeys in AI training and inference development by building the platforms, tools, and services that defend the operational capacity of our bare‑metal, accelerated compute infrastructure and codify reliability best‑practices in the broader DGX Cloud platform ecosystem.
What You’ll Be Doing
Design, build, and run cloud infrastructure services to meet business goals, performing integrations, migrations, bring‑ups, updates, and decommissions as necessary.
Participate in the definition of internal 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 worthwhile.
Practice sustainable blameless incident prevention and incident response while being a member of an on‑call rotation.
Consult with and provide consultation for peer teams on systems design best practices.
Participate in a supportive culture of values‑driven introspection, communication, and self‑organization.
What We Need To See
Proficiency in one or more of the following programming languages: Python or Go.
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 in infrastructure and fleet management engineering.
Experience with infrastructure automation and distributed systems design developing tools for running large‑scale private or public cloud systems at scales requiring fully automated management and under active customer consumption in production.
A track record demonstrating a mix of initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
In‑depth knowledge in one or more of the following: Linux, Slurm, Kubernetes, local and distributed storage, and systems networking.
Ways To Stand Out From The Crowd
Demonstrating a systematic problem‑solving approach, coupled with clear communication skills and a willingness to take ownership and get results such as experience driving a build / reuse / buy decision.
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 engineering (e.g. SRE) and/or other scale‑oriented cloud systems practices to peers and/or 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 accelerated compute and communications technologies such as BlueField Networking, Infiniband topologies, NVMesh, and/or the NVIDIA Collective Communication Library (NCCL).
Experience working with a centralized security organization to prioritize and mitigate security risks. Prior experience in a ML/AI‑focused role or on a team matching specific keywords is welcome but not required.
Compensation & Benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is:
Level 4: $168,000 – $270,250 USD
Level 5: $208,000 – $333,500 USD
In addition, you will be eligible for equity and benefits.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.
How to Apply Applications for this job will be accepted at least until December 3, 2025.
#J-18808-Ljbffr