NVIDIA · 4 months ago
Senior Datacenter System Software Architect - DGX Cloud
NVIDIA is hiring engineers to scale up its AI Infrastructure, seeking a highly motivated engineer with strong experience in system software to join the DGX Cloud Software Team. The role involves leading the architecture, design, and implementation of next-generation DGX cloud clusters, focusing on hybrid deployments and ensuring seamless integration across various engineering teams.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Lead technical activities for data centers with focus on hybrid deployments between cloud and on-prem
Providing expertise in infrastructure workflows, including hardware, software release, workload orchestration and application tuning
Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification
Translate requirements to vision, architecture and roadmap
Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications
Qualification
Required
Masters or PhD in Computer Science, Computer Engineering, Physics or equivalent experience
9+ years of experience in this field
Data Sciences, Deep Learning, or Machine Learning coursework
Ability to seamlessly shift between Linux system environments to Python programming
Programming skills in 1 or more high-level languages (C, C++, Go, Rust, etc)
System-level experience with both hardware and software
Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills
Strong design, coding, analytical, debugging and problem-solving skills
Passion for continuous learning and knowledge transfer. Ability to work concurrently with multiple groups locally and abroad in the organization
Preferred
Experience with GPU deep learning and data sciences
Experience using TensorFlow, PyTorch or other DL framework
Experience working with Docker containers, Slurm, Terraform and Kubernetes
CUDA programming and NCCL experience
HPC programming experience including MPI, OpenACC, or other parallel programming tools
Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices
Interest in crafting, analyzing and fixing large-scale distributed systems
Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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