Senior HPC Architect, Automation and At-Scale Deployment
NVIDIA· Engineer, Sys SW
Hybrid (Remote - US), US, CA, Santa Clara, Remote$184k - $287.5kFull-timePosted 7mo ago
About the role
Hands-on architect/engineer role focused on deployment and bring-up of large-scale GPU compute clusters, enabling at-scale system administration, tuning, and performance platforms for NVIDIA’s GPU computing and AI workflows.
Responsibilities
- Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assist systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology.
- Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community.
Qualifications
- 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions.
- Solid understanding of accelerated computing scheduling and I/O stacks.
- C/C++/Python/Bash programming/scripting experience.
- Experience working with engineering or academic research community supporting high performance computing or deep learning.
- Experience with parallel filesystems.
- Strong teamwork and communication skills, both verbal and written.
- Ability to multitask effectively in a dynamic environment.
- Action driven with strong analytical skills.
- Desire to be involved in multiple diverse and innovative projects.
- BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable.
Skills
Required:Accelerated computing / HPC deploymentScheduling and I/O stacksProgramming/scriptingParallel filesystemsCommunication and teamwork
Benefits
- equity
- comprehensive benefits package
- NVIDIA benefits (see website)
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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