3 days ago
Base Salary
$224k - $431k/yr
Responsibilities
- Automate GPU asset provisioning, configuration, and lifecycle management across cloud providers.
- Build automation for datacenter management, break/fix operations, and upkeep of large-scale machine learning systems.
- Implement monitoring and health-management capabilities for GPU asset reliability, availability, and scalability.
- Process GPU hardware diagnostics, cluster telemetry, and network telemetry.
- Build automated test infrastructure to qualify distributed systems for operation.
- Collaborate with engineering teams to integrate software from hardware through AI training applications.
Requirements
- 12+ years of experience in a similar role working on large-scale production systems.
- BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree, or equivalent experience.
- Expert-level knowledge of Go, Python, and/or Rust, with a solid understanding of data structures and algorithms.
- Strong background in Linux system administration and management.
- Deep knowledge of Kubernetes and/or SLURM.
- Understanding of performance, security, and reliability in complex distributed systems.
- Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.
- Preferred qualifications include distributed-network design, cloud-independent distributed-systems management, datacenter operations, GPU hardware, RDMA networking, and advanced Kubernetes or SLURM experience.
Benefits
- Eligible for equity and benefits.
- Base salary is listed for Level 5 and Level 6, with the range determined by location, experience, and comparable employee pay.
- Applications are accepted at least until October 31, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.