Wanted: Senior AI & HPC Network Architect for Distributed Systems

Wanted: Senior AI & HPC Network Architect for Distributed Systems

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
Nvidia

At a Glance

  • Tasks: Design scalable AI infrastructure and collaborate on cutting-edge distributed systems.
  • Company: NVIDIA, a leader in AI and HPC technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on collaboration and impact.
  • Why this job: Join a team pushing the boundaries of AI workloads and innovation.
  • Qualifications: Experience in network architecture and a passion for AI technologies.

The predicted salary is between 72000 - 88000 Β£ per year.

NVIDIA is seeking a Senior HPC and AI Network Software Architect to shape scalable AI infrastructure for distributed training, real-time inference, and efficient data movement across large systems. You will design software and hardware approaches, collaborate with researchers and engineers, and push the limits of AI workloads at scale. Join a team that builds software and hardware for AI at an outstanding scale, working across GPUs, DPUs, and interconnects to accelerate training and inference.

Wanted: Senior AI & HPC Network Architect for Distributed Systems employer: Nvidia

NVIDIA is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among talented professionals. With a focus on cutting-edge technology in AI and cloud systems, employees benefit from competitive salary packages and ample opportunities for personal and professional growth in a dynamic environment. Join us to be part of a team that is not only solving significant challenges but also shaping the future of technology.

Nvidia

Contact Details:

Nvidia Recruitment Team

We think you need these skills to ace Wanted: Senior AI & HPC Network Architect for Distributed Systems

AI Infrastructure Design
Distributed Systems Architecture
Software Development
Hardware Integration
Collaboration with Researchers
Scalable AI Workloads
Data Movement Optimization