Senior GPU And HPC Infrastructure Engineer - DGX Cloud

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 System Administration @ 4 Go @ 4 Kubernetes @ 4 Linux @ 4 Python @ 4 Algorithms @ 4 Data Structures @ 4 Distributed Systems @ 3 Machine Learning @ 4 Data Science @ 4 Hiring @ 4 Communication @ 3 Mathematics @ 4 Networking @ 3 GPU @ 4

Details

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, knowledge of datacenter hardware, operations, and networking, familiarity with software testing and deployment, familiarity with distributed systems, and excellent communication and planning abilities. Experience working with High Performance Computing (HPC), GPUs, and high-performance networking (RDMA, Infiniband, RoCE) are strongly preferred. We also welcome out-of-the-box thinkers who can provide new ideas with a strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and other engineers on this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science.

For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

Responsibilities

  • Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers; build end-to-end automation of datacenter operations, break/fix, and lifecycle management for large-scale Machine Learning systems.
  • Implement monitoring and health management capabilities to enable industry-leading reliability, availability, and scalability of GPU assets, harnessing multiple data streams from GPU hardware diagnostics to cluster and network telemetry.
  • Work on software that manages NVLINK topography across GPU clusters.
  • Build automated test infrastructure used to qualify distributed systems for operation.
  • Collaborate with engineering teams across NVIDIA to ensure seamless integration from hardware up to AI training applications.
  • Innovate continuously, discovering new problems and delivering solutions.

Requirements

  • Highly motivated with strong communication skills; ability to work successfully with multi-functional teams, principals and architects, and coordinate across organizational boundaries and geographies.
  • 5+ years of software engineering experience on large-scale production systems.
  • BS in Computer Science, Engineering, Physics, Mathematics or comparable degree, or equivalent experience.
  • Expert-level knowledge of a systems programming language (Go, Python) and a solid understanding of Data Structures and Algorithms.
  • Expert-level knowledge of Linux system administration and management.
  • Understanding of cluster management systems (Kubernetes, SLURM).
  • Understanding of performance, security and reliability in complex distributed systems; familiarity with system-level architecture, data synchronization, fault tolerance and state management.

Preferred / Ways to Stand Out

  • Proficiency in architecting and managing large-scale distributed systems, independent of cloud providers.
  • Deep knowledge of datacenter operations and GPU hardware; hands-on experience with RDMA networking (Infiniband, RoCE).
  • Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM) and Machine Learning Operations; hands-on experience with Bright Cluster Manager.
  • Hands-on experience developing and/or operating hardware fleet management systems; proven operational excellence in designing and maintaining AI infrastructure.

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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Other

Applications for this job will be accepted at least until August 11, 2025.

NVIDIA is committed to fostering a diverse work environment and is 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.