Lead design, build, launch, and operate AI infrastructure services, tools, and open‑source projects for NVIDIA’s DGX Cloud team.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
Responsibilities
Drive the design, build, launch and operation of services, tools and open‑source projects
Plan and assign the team’s work, mentor junior engineers and review designs
Build resilient AI infrastructure on Kubernetes and Slurm for NVIDIA’s own training workloads and customer workloads
Build APIs that connect to NVIDIA’s resiliency systems: telemetry, break/fix automation, and checkpoint and execution systems
Build a job submission layer that hides infrastructure failures from users and restarts long-running training jobs automatically
Requirements
BS, MS or PhD in Computer Science or a related field (or equivalent experience)
Nice to have: fault tolerance or checkpointing for large-scale distributed training on GPU supercomputers
Nice to have: building LLM-based agents or AI tools for performance analysis or troubleshooting
Nice to have: building external services or maintaining open-source projects in ML infrastructure
Lead design, build, launch, and operation of AI infrastructure services, tools, and open-source projects for NVIDIA’s DGX Cloud team.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.
Responsibilities
Drive the design, build, launch and operation of our services, tools and open-source projects.
Plan and assign the team’s work, mentor junior engineers and review designs.
Build resilient AI infrastructure on Kubernetes and Slurm for NVIDIA’s own training workloads and customer workloads.
Build APIs that connect to NVIDIA’s resiliency systems: telemetry, break/fix automation, and checkpoint and execution systems.
Build a job submission layer that hides infrastructure failures from users and restarts long-running training jobs automatically.
Requirements
BS, MS or PhD in Computer Science or a related field (or equivalent experience)
The Global Public Sector team is seeking a Solutions Architect based in France to turn sovereign AI priorities into scalable technical solutions for public-sector organizations and government entities.
Compensation
The expected base salary ranges for this position are: 69,000 EUR – 119,600 EUR for Level 3; and 87,750 EUR – 152,100 EUR for Level 4.
Responsibilities
Translate public-sector mission goals, data constraints and operational requirements into technical architectures for generative and agentic AI solutions.
Collaborate with partners to build and demonstrate working prototypes using Python and PyTorch.
Define practical paths from proof of concept to production deployment on NVIDIA accelerated computing platforms.
Build containerized deployment patterns using Kubernetes, including model serving, scaling, integration and lifecycle considerations.
Lead hands-on discovery sessions, technical workshops, and field trials with customer engineers and ecosystem partners.
Design, develop, and maintain Python-based services and applications, build and support GPU compute infrastructure, and manage containerized workloads.
Locations (4)
Pittsburgh, Pennsylvania, United States
Dallas, Texas, United States
Birmingham, Alabama, United States
Strongsville, Ohio, United States
Compensation
Base Salary: $75,000.00 – $137,500.00
Responsibilities
Build, manage, and maintain on-prem GPU compute infrastructure
Install, configure, and support Linux-based systems and platform services
A hands-on Data Center Operations Technician to keep the infrastructure behind River’s AI systems running reliably by bringing new equipment online, diagnosing/repairing hardware faults, and minimizing downtime.
Compensation
$30 - $50 USD per hour, plus equity
Responsibilities
Monitor servers, network devices, and facility alerts.
Triage incidents and restore service quickly and safely.
Diagnose and replace failed components, including drives, memory, power supplies, fans, network interface cards, and optics.
Use Linux and SSH to inspect logs, investigate faults, and verify that repairs resolve the underlying issue.
Receive, stage, rack, cable, label, and power up servers, switches, and power distribution units, then coordinate handoff for provisioning.
Technical leader within the operations organization responsible for operating large-scale AI infrastructure environments powered by NVIDIA GPUs, high-performance networking, Kubernetes, and next-generation platform technologies.
Responsibilities
Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
Act as a senior escalation point for operational teams during critical service-impacting events.
Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
Senior Solutions Architect responsible for designing, implementing, and delivering large-scale AI/HPC GPU infrastructure solutions for NVIDIA Cloud Partners and telco customers.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
Requirements
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
Manager, AI & Research Computing InitiativesSigma Inc. (Sigma Systems, Inc.) · Boston, US
Data Center Operations Technician (SiteOps)River AI Inc. · Palo Alto, US