1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop custom software for scheduling GPU resources on Kubernetes.
- Build monitoring and health-management capabilities for GPU assets using hardware diagnostics, cluster telemetry, and network telemetry.
- Support reliable, consistent, and high-performance operation of large-scale production AI clusters.
- Evaluate system failures and improve services through an incident management process.
- Coordinate with cross-functional teams, principals, and architects across organizational boundaries and geographies.
- Manage and automate large-scale distributed systems independently of cloud providers.
Requirements
- 5+ years of experience in a similar software engineering role and experience with large-scale production systems.
- Direct software development experience with Kubernetes APIs and frameworks, beyond operating Kubernetes clusters.
- Experience applying common software engineering principles, tools, and techniques.
- Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a comparable degree, or equivalent experience.
- Proficiency in a systems programming language such as Go or Python, with a solid understanding of data structures and algorithms.
- Strong communication, execution, collaboration, and problem-solving skills.
- Advanced hands-on experience with cluster management systems such as Kubernetes, Slurm, or Bright Cluster Manager is preferred.
- Proven operational excellence maintaining reliable and performant AI infrastructure is preferred.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until October 12, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
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.